If you’re an RPAS pilot in Canada, you’re likely using NAV Drone (and if you’re not, you should be).The mobile and web app from NAV Canada is the app to ensure your mission is approved. As the NAV CANADA <a href="https://www.navcanada.ca/en/flight-planning/drone-flight-planning/nav-drone-support.aspx" target="_blank">website explains</a>: “NAV Drone is the only app that lets you safely and legally request permission to fly a drone in airspace controlled by NAV CANADA. From the web or a mobile device, professional and recreational drone pilots and operators can easily see where they can and cannot fly with interactive maps and, when needed, submit requests to fly in controlled airspace.”It’s a snap to use. The app lets you know where you can fly – and where you can’t – and could save you from both dangerous operations and potential fines. The app also notifies you if there are other drone operations underway in the vicinity of your operations, which is really useful for situational awareness.Last week, at the <a href="https://www.aerialevolution.ca/" target="_blank">Aerial Evolution Association of Canada</a>‘s annual conference and exhibition, NAV CANADA offered an update on usage stats for the app – and revealed there are more enhancements on the horizon.Below: Screengrabs from the NAV Drone mobile app, followed by a NAV CANADA explainer video<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzMxMzQ5NzgyOTAzLUlNR182MTM0LXNjYWxlZC5qcGcud2VicCIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib" alt="NAV Drone App"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzMxMzQ5ODA0MTg3LUlNR182MTM1LmpwZy53ZWJwIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 100%px;" class="fr-fic fr-dib" alt="NAV Drone App"><iframe width="640" height="360" src="https://www.youtube.com/embed/FZR6ii6PX8s?&amp;wmode=opaque&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</iframe><h3 id="isPasted">By The Numbers</h3>NAV Drone has been operational now for several years. There was a lot of buzz in the industry when it was first released, but what has that translated to in terms of actual use? Here, NAV CANADA offered some numbers – which indicate the app has been widely embraced across the sector.In 2024, NAV Drone had processed 53,000 permission requests as of early November, a growth rate of 26 per cent over the previous year. By automating this process – and avoiding manual approval (30 minutes per request at $130/hour), NAV CANADA says the app has saved more than $6.5M in Air Traffic Service (ATS) costs. What’s more, users seem to really like the app; it has excellent ratings on the App Store and Google Play.And, of course, NAV Drone has greatly enhanced safety (and provided a huge amount of data) for NAV CANADA, the country’s privately run non-profit corporation that operates our civil air navigation system.“Safety is the key reason it’s there. It’s all about keeping the airspace safe,” explained Alan Chapman, NAV CANADA’s director of RPAS Traffic Management.As we head toward increased RPAS traffic, including regulations that will permit low-risk Beyond Visual Line of Sight flights in 2025, NAV CANADA has bold plans to enhance the offerings of the NAV Drone app. And that’s good news for both RPAS operators and also those operating traditional crewed aviation.“Some big changes are coming to NAV Drone in 2025,” said&nbsp;Stewart Paveling,&nbsp;Product Family Leader, RPAS Traffic Management NAV CANADA during a panel discussion.That includes a number of additional features to the app, including greater capabilities with RPAS Traffic Management (RTM), low-risk BVLOS and EVLOS flight approvals – Including the ability to record flights undertaken with a Special Flight Operations Certificate through the app.These are big changes, indicative of recognition this industry will continue to grow as well as NAV CANADA’s desire to safely help the industry expand as we head, ultimately, into the era of Advanced Air Mobility (AAM).“NAV CANADA’s strategic direction positions us to take a leadership role to effect change across the air navigation system,” read a slide during its presentation. “To unlock not just our own potential, but also the potential of the industry to be more effective, more efficient, and more environmentally sustainable going forward.”To further emphasise that, the slide continued – including the bold in the following paragraph:“RTM facilitates the safe integration of RPAS, in a highly automated way, enabling growth of operations and expansion of use cases to capture the potential aviation and societal benefits.”That was followed by a high-level road map indicating priorities for the coming years.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzMxMzUwMjgxNjYxLU5BVi1DYW5hZGEtTkFWLURyb25lLXNjYWxlZC5qcGcud2VicCIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib" alt="RTM Phase 1 Progress Report"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzMxMzUwMzAzNDYyLU5BVi1DQU5BREEtUlRNLVBoYXNlLVR3by1zY2FsZWQuanBnLndlYnAiLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 100%px;" class="fr-fic fr-dib" alt="RTM Phase 2"><h3 id="isPasted">Next Steps</h3>Following the slides, there was a panel discussion about future plans, along with other suggestions on ways to improve the existing app. In addition to Alan Chapman and Stewart Aveling, the panel included Joanne Moon (Manager of RPAS Operations, NAV CANADA), Anne Sophie Ripple-Bouvier (Flight Safety Officer, Aerial Evolution Association of Canada) and Brian Fentiman (Project Manager, InDro Robotics/CEO BlueForce UAV Consulting, Inc.).As the slide above notes, NAV Drone will keep pace with Transport Canada regulations – including the much anticipated changes that will allow low-risk BVLOS flights in 2025. The emphasis here is on pushing the envelope with a highly automated RTM system “to support safe, efficient and scalable BVLOS operations.”For years, the sector has been eager to enable BVLOS flight without the need for a time-consuming Special Flight Operations Certificate. This obviously opens the door to a broad range of use-case scenarios, ranging from monitoring long-range assets like railroad tracks and pipelines through to large-scale mapping and other data acquisition.For those operations that will still require an SFOC, NAV Canada revealed that the capability will be in place to allow flights to be recorded in the app. Though that will simplify the process of recording for operators, NAV Canada will not approve SFOCs; these applications will be reviewed by Transport Canada, which is responsible for approving SFOCs.Later this year, Paveling added, there will be new map layers for restricted airspace. NAV Canada is also planing to improve the flight clipboard that comes with the system, redesigning it and making it easier to read. There will also be changes to the web-based support site, including a move away from PDF manuals “with better content that’s easier to consume and search.”Outside of the app, NAV Canada said it is working to beef up its ability to detect drone incursions.“We see reports of RPAS in control zones on approach paths,” said Joanne Moon of NAV Canada, adding that the corporation also obtains data from drone detection systems in place at airports. (InDro Robotics is the chief technology partner with the <a href="https://indrorobotics.ca/drone-pilot-fined-3021-for-drone-incursion-at-yow/" target="_blank" rel="noopener">drone detection system at YOW</a>. That data is shared with NAV CANADA and Transport Canada, among others.)NAV Canada, she said, is looking at strengthening its capabilities and enforcement in this arena.“(We’ve)&nbsp;Been working with industry partners, looking at things like drone detection, information sharing, emergency response, collaboratiion with airport authorities (as well as) our own air traffic services unit.”&nbsp;<h3>Other Improvements&nbsp;</h3>There was also an opportunity during the panel to discuss other improvements that could be made to the NAV Drone app. And here, InDro’s Brian Fentiman offered some suggestions.“One of the biggest things I find, more as a trainer than an operator, is the weak spot. The weak spot seems to be emergency procedures…With a flyaway,&nbsp;I would much prefer that there’s a single number. I’d like to see that phone number up front so it’s easy for people to find. In&nbsp;controlled airspace, you do get a phone number but it’s buried in a flight report…Sometimes you’ll get that phone number and the tower is not even open during those hours.”It’s an important point – and one NAV Canada says it’s about to address.“We are actively working on that right now…for an upcoming change to NAV Drone,” said Moon.The other point Fentiman raised was with regards to conspicuity – meaning the electronic visibility of a drone within a broader RTM system.“To enable BVLOS, we need conspicuity…whether it’s from the drone to other (RPAS) traffic or to commercial aviation,” he said.That is something, said NAV CANADA, that is precisely on its roadmap. And the best way to fully get there, it was suggested, was to ensure that everyone in the industry uses the NAV Drone app.“The more people who use the tool, the better situational awareness we have,” said Chapman.Below: Brian Fentiman on the NAV CANADA panel at AEAC2024. Photo by Scott Simmie, InDro Robotics<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzMxMzUwMzY4NzU4LURTQ0YzNjY4LXNjYWxlZC5qcGcud2VicCIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib" alt="Brian Fentiman"> <h3 id="isPasted">InDro's Take</h3>The annual Aerial Evolution Association of Canada’s conference and exhibit is always a great event – and precisely due to learning opportunities like this one. Conversations with bodies like NAV CANADA and Transport Canada are tremendously important for the growth of the sector.“We are fortunate in Canada to have a collaborative relationship with NAV CANADA and Transport Canada, as that’s not always the case between the industry and regulators or air traffic systems organizations,” says Philip Reece, Founder and CEO of InDro Robotics.“We have seen a true evolution over the years in terms of this relationship – and from both sides. There’s a greater recognition now from the industry that safety has to remain paramount if the sector is going to continue its growth trajectory. And we’ve also seen a real willingness from NAV CANADA and Transport Canada to work with RPAS operators to safely continue growth. The NAV Drone app – and how widely it’s now used – is evidence of this collaboration from both sides. We look forward to enhanced capabilities on this already excellent tool.”Want to learn more about the benefits of membership with the Aerial Evolution Association of Canada? You can find all the details <a href="https://www.aerialevolution.ca/become-a-member/" target="_blank">here</a>.

NAV Canada Update

Enhanced Capabilities Coming to NAV Drone App

In this episode, we explore how AI can help aerial vehicles adjust to extreme turbulence in real-time and enhance safety/stability, even in challenging driving conditions.

Scared of Turbulence? AI -Might- Fix That

As you might recall from <a href="https://cypherrobotics.com/2024/10/17/cypher-robotics-puts-captis-on-the-global-stage-at-gitex-global-2024-in-dubai/?et_fb=1&PageSpeed=off" target="_blank">this post</a>, Cypher Robotics and its <a href="https://indrorobotics.ca/cypher-robotics-announces-captis-a-new-solution-for-industrial-scanning/" target="_blank">Captis</a> cycle-counting/inventory management solution recently attended the huge <a href="https://www.gitex.com/" target="_blank">GITEX GLOBAL 2024</a> event in Dubai. It’s the world’s largest technology and AI exhibition, with some 200,000 attendees. It was a *huge* show.But a lot of the work – and the opportunities – for both Cypher Robotics and InDro Robotics (which incubated Cypher and has a technology agreement with the company) took place away from the show floor. Cypher Robotics CEO and InDro Vice President Peter King spent much of his time in high-level meetings with executives from five of the largest companies in the United Arab Emirates.“These were C-Suite level meetings, where we were able to learn more about what these companies do – and discuss how both InDro and Cypher can offer solutions that could benefit them,” says King.These aren’t companies where you can simply call and ask for a meeting with high-level executives. There needs to be a catalyst to facilitate such discussions.And there was: The Government of Canada; specifically, the Canadian Consulate in Dubai.Below: Cypher Robotics CEO Peter King on the floor at GITEX GLOBAL 2024. Much of his time was spent off the floor, meeting with executives from the largest companies in the UAE<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1729798081995-GITEX-Peter.jpg-2.webp" style="width: 100%px;" class="fr-fic fr-dib" alt="Cypher Robotics Booth at GITEX"><h3 id="isPasted">Trade Mission</h3>Among the many responsibilities of the Federal Government is promoting trade between Canadian firms and international clients. Sometimes, there are large “Team Canada Trade Missions” which are led by a Minister and often covered by media. With these missions, there’s a specific push on the Indo-Pacific region. On other occasions, however, the government pulls together smaller groups with a very specific focus. Months before GITEX GLOBAL 2024 was to take the world stage, planning began for a mission in Dubai that would take place the same week.Government officials identified five Canadian firms in the Canadian high-tech sector it felt might be a fit for the UAE market. InDro Robotics was invited to participate – and was the only company among those five from the robotics sector.“They identified that our solutions could be highlighted in Dubai – not only for trade reasons, but also to help solve some really hard problems,” says Peter King. “We were obviously really pleased to be one of a small handful of technology companies to be on the federal government’s radar.”Canada’s Consul General in Dubai, H.E. Tracy Reynolds, was at the helm of this program and coordinated a series of meetings with “the UAE’s most influential business and technology leaders,” reads a Government of Canada document outlining the program.“Consul General Reynolds will lead a two-day outreach program that will allow selected Trade Commissioner Service (TCS) clients to pitch their products and solutions to Dubai’s conglomerates, which are considered to be major buyers of ICT products and solutions. The meetings will also allow the delegation to learn about the latest technologies being adopted by these organizations,” it adds.<h3> </h3><h3 id="isPasted">Why UAE?</h3>Though historically an oil-driven economy, the United Arab Emirates has diversified greatly in recent years. It has evolved, according to the CIA’s World FactBook, “into a trade-oriented logistics and supply chain leader (with) strong foreign direct investment orientation; building trade and investment ties through partnership agreements…” The UAE Gross Domestic Product is the fourth highest in the Middle East (after Turkey, Saudi Arabia and Israel), with an estimated USD 719.733 billion GDP in 2023.In Dubai, the skyline has been utterly transformed over the past few decades. It’s home to the world’s tallest building, the Burj Khalifa, and other ultra-modern architecture. Known also for its luxury shopping and high-end autos, Dubai has also embraced technology in recent years. In fact, the local police count Tesla Cybertrucks among their fleet.Dubai has never been as dependent on oil as the other six Emirates that comprise the UAE – and Dubai has led the way in the UAE in terms of economic diversification. According to Wikipedia, “Oil production, which once accounted for 50% of Dubai’s gross domestic product, contributes less than 1% today. In 2018, wholesale and retail trade represented 26% of the total GDP; transport and logistics, 12%; banking, insurance activities and capital markets, 10%; manufacturing, 9%; real estate, 7%; construction, 6%; tourism, 5%. The International Herald Tribune described it as ‘centrally-planned free-market capitalism’.”In other words, Dubai – and the wider UAE – are a significant and growing global marketplace.Below: The Dubai Skyline at night. Photo by Ivan Siarbolin – https://www.pexels.com/photo/city-skyline-during-night-time-3787839/, CC0, https://commons.wikimedia.org/w/index.php?curid=95959711<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1729798138316-Dubai_Skylines_at_night_Pexels_3787839-scaled.jpg.webp" style="width: 100%px;" class="fr-fic fr-dib" alt="Dubai Skyline"> <h3 id="isPasted">High-Level Agenda</h3>With that context, it’s clear why the Canadian Consulate in Dubai sees opportunity. Being on the ground, Canadian&nbsp;Consul General&nbsp;Tracy Reynolds,&nbsp;Deputy Consul General Anthony Finch and Trade Commissioner&nbsp;Arun Basandai have an insider’s vantage point into the key economic players in Dubai and the UAE.&nbsp;And so, over the course of two days, they accompanied representatives of the five invited Canadian companies to five different high-level meetings.The first was with one of the largest real estate developers in the entire UAE. Remember the earlier reference to the Burj Khalifa? This company owns it. In addition to real estate, its diverse portfolio includes&nbsp;retail, hospitality, and&nbsp;leisure. The firm’s Executive Director and its Head of Information Technology attended the meeting.We don’t want to get into the details, but it was an excellent discussion – which included how solutions from both InDro Robotics and Cypher Robotics might be useful to that firm.&nbsp;From there, it was off to a massive global investment company that has been a major driver of Dubai’s spectacular growth. It’s involved with 10 sectors,&nbsp;including real estate, hospitality, leisure&nbsp;&amp; entertainment, media, ICT, design, education, retail, manufacturing, and&nbsp;logistics and science. It owns hotels, parks, resorts, a huge arena, multiple large retail outlets – and is also involved in multiple projects to accelerate Dubai into a fully Smart City. There were fruitful discussions there as well.Meeting three was with one of the largest retailers in Dubai and the entire UAE with an emphasis on the fashion and lifestyle industry. On the food and beverage side, it runs multiple name brand franchises throughout the UAE and is the distributor/retailer of major fashion brands. It’s a huge company with a massive rolling inventory across several sectors. As with the previous meetings, all five Canadian technology companies had a chance to discuss their offerings.&nbsp;<h3>And There Was More…</h3>Once again, it was C-suite meetings with the full support of senior Consulate staff. The group met with the CEO and Chief Strategy and Technology Officer (CSTO) of the leading shopping mall, retail and leisure company across the Middle East, Africa and Asia. It owns and operates 27 major shopping malls, multiple hotels, cinemas, etc. and has assets in excess of USD 18 billion and 44,000 employees.The final meeting was with “a multinational retail franchise operator of 70 brands in 20 countries.” Those brands include Starbucks, Chipotle and Cheesecake Factory. The company runs hotels and major retail outlets with names you’d recognize. The company’s Chief Strategy and Digital Officer attended this meeting, and was able to learn about solutions offered by all five Canadian technology companies.“These meetings were a tremendous opportunity to learn not only about what these leading UAE companies do, but also explore some of the challenges they face with operations at that scale,” says King. “There was significant interest in solutions from both InDro and Cypher – and I’m confident these were just the first of many conversations to come.”Below: The Cypher Robotics cycle-counting and RFID scanning Captis, which can operate autonomously for five hours and also capture precision digital twins. Below that is the InDro Robotics Sentinel, designed for remote asset inspection, security and surveillance and digital twins<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1729798194505-Captis-1-scaled.jpg.webp" style="width: 100%px;" class="fr-fic fr-dib" alt="Captis Robot"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1729798212185-Sentinel-in-substation-1.jpg.webp" style="width: 100%px;" class="fr-fic fr-dib" alt="Sentinel Inspection Robot"><h3 id="isPasted">InDro's Take</h3>We are pleased to have been selected to take part in this trade mission in the United Arab Emirates – and are exceedingly grateful to the senior staff at the Canadian Consul General in Dubai. These were exceptional meetings and, potentially, the beginning of new business relationships.“These meetings were a significant step along Cypher’s long-term roadmap, which includes markets beyond North America,” says King. “Every business relationship begins with a discussion, and these were very productive introductory meetings for all of the Canadian firms on this trip. I’d like to extend our deepest thanks for Consul General Tracy Reynolds, Trade Commissioner Arun Basandani and Deputy Consul General Anthony Finch.”InDro Founder and CEO Philip Reece is also pleased.“These meetings were a remarkable opportunity for not only InDro and Cypher, but for four other innovative Canadian tech companies,” he says. “The Government of Canada recognizes the global shift toward Industry 4.0 and the role Canadian technology companies can play in that. We are pleased that InDro had this opportunity and extend our thanks to all those involved.”If you’d like to learn more about InDro Robotics solutions, contact us <a href="https://indrorobotics.ca/connectwithanexpert/" target="_blank">here</a>. For Cypher Robotics and Captis, reach out <a href="https://cypherrobotics.com/contact-us/" target="_blank">here</a>.Cover image of Dubai at top of story via Wikimedia Commons by Tim Reckmann, CC BY-SA 3.0

Exploring strategic partnerships and showcasing cutting-edge robotic technologies, InDro Robotics and Cypher Robotics attend pivotal trade discussions to expand their global impact.

InDro Robotics and Cypher Robotics attend High-Level Trade Meetings in Dubai

Inspecting FPSOs in harsh marine environments is no easy task, especially with high temperatures, confined spaces, and the need for precise corrosion monitoring. Recently, a major breakthrough in Non-Destructive Testing (NDT) was achieved during the inspection of an FPSO tank, where both Ultrasonic Testing (UT) and Visual Testing (VT) were conducted using SKYRON, an intelligent flying robot designed to perform NDT inspections faster, safer, and more cost-effectively.This innovative approach allowed inspectors to gather crucial data while avoiding the dangers of traditional methods like rope access and scaffolding. From capturing HD images to delivering UT readings in temperatures up to 45°C, the inspection process was completed swiftly, safely, and more efficiently than ever.Watch the full inspection video to see how NDT is being transformed!

A Technological Breakthrough

Redefining NDT Inspections in FPSOs

This article was discussed in our <a href="https://www.wevolver.com/profile/the.next.byte" rel="noopener noreferrer">Next Byte podcast</a>.&nbsp;<iframe height="200px" width="100%" frameborder="no" scrolling="no" seamless="" src="https://player.simplecast.com/ba9d3b2c-0388-4b26-839e-f00c49d3ec84?dark=false" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe> The full article will continue below.<hr>In nature, flying animals sense coming changes in their surroundings, including the onset of sudden turbulence, and quickly adjust to stay safe. Engineers who design aircraft would like to give their vehicles the same ability to predict incoming disturbances and respond appropriately. Indeed, disasters such as the fatal Singapore Airlines flight this past May in which more than 100 passengers were injured after the plane encountered severe turbulence, could be avoided if aircraft had such automatic sensing and prediction capabilities combined with mechanisms to stabilize the vehicle.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzI5MDM4MjAxNjIyLUFuYW5ka3VtYXItR2hhcmliLVdpbmRfVHVubmVsX0ZhbGNvbi1XRUIud2lkdGgtNDUwLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib">The team's experimental setup in the John W. Lucas Wind Tunnel at Caltech. A large black cylinder with a plate attached at the front creates irregular turbulence under the tunnel's high-speed winds. The airfoil wing system with eight pressure sensors and a pitot tube is mounted on a load cell to measure the lift experienced by the system. Credit: CaltechNow a team of researchers from Caltech's <a href="https://cast.caltech.edu/">Center for Autonomous Systems and Technologies</a> (CAST) and Nvidia has taken an important step toward such capabilities. In a new <a href="https://www.nature.com/articles/s44182-024-00013-0.epdf?sharing_token=6SA8UpWMvumTfhM3BzcI0NRgN0jAjWel9jnR3ZoTv0OYBT9CUtY2_MnOaaTlLg26HDgxOHgFndBOc1Ku9JjlUbinxhxQy2OVlESO-2I1ea10WRlqhnXFkZL3MD7WxjALanseKL57Txyt7Qm936pSVU30LsD6GimfDMNURtTs7_Q%3D">paper</a> in the journal npj Robotics, the team describes a control strategy they have developed for unmanned aerial vehicles, or UAVs, called FALCON (Fourier Adaptive Learning and CONtrol). The strategy uses reinforcement learning, a form of artificial intelligence, to adaptively learn how turbulent wind can change over time and then uses that knowledge to control a UAV based on what it is experiencing in real time."Spontaneous turbulence has major consequences for everything from civilian flights to drones. With climate change, extreme weather events that cause this type of turbulence are on the rise," says <a href="https://www.eas.caltech.edu/people/mgharib">Mory Gharib</a> (PhD '83), the Hans W. Liepmann Professor of Aeronautics and Medical Engineering, the Booth-Kresa Leadership Chair of CAST, and an author of the new paper. "Extreme turbulence also arises at the interface between two different shear flows—for example, when high-speed winds meet stagnation around a tall building. Therefore, UAVs in urban settings need to be able to compensate for such sudden changes. FALCON gives these vehicles a way to understand the turbulence that is coming and make necessary adjustments."FALCON is not the first UAV control strategy to use reinforcement learning. However, previous strategies have not tried to learn the underlying model that truly represents how turbulent winds work. Instead, they have all been model-free methods. Such methods focus on maximizing a reward function that cannot be used to tackle different settings, such as different wind conditions or vehicle configurations, without retraining because they focus on just one environment."That's not so good in the physical world, where we know that situations can change drastically and quickly," says <a href="https://www.eas.caltech.edu/people/anima">Anima Anandkumar</a>, the Bren Professor of Computing and Mathematical Sciences at Caltech and an author of the new paper. "We need the AI to learn the underlying model of turbulence well so that it can take action based on how it thinks the wind will change.""Advancements in fundamental AI will change the face of the aviation industry, enhancing safety, efficiency, and performance across a range of platforms, including passenger planes, UAVs, and carrier aircraft. These innovations promise to make air travel and operations smarter, safer, and more streamlined," says Kamyar Azizzadenesheli, a co-author from Nvidia.As the FALCON acronym says, the strategy is based on Fourier methods, meaning that it relies on the use of sinusoids, or periodic waves, to represent signals—here, wind conditions. The waves provide a good approximation of standard wind motions, keeping needed computation to a minimum. Within those waves, when extreme turbulence arises, the unsteadiness shows up as a noticeable change in frequency."If you can learn how to predict those frequencies, then our method can give you some prediction of what is headed your way," says Gharib, who is also director of the <a href="https://www.galcit.caltech.edu/">Graduate Aerospace Laboratories</a> at Caltech."Fourier methods work well here because turbulent waves are better modeled in terms of frequencies, with most of their energy lying in low frequencies," says co-lead author Sahin Lale (PhD '23), now a senior staff research engineer at Neural Propulsion Systems, Inc., who completed the work while at Caltech. "Using this prior knowledge simplifies both the learning and control of turbulent dynamics, even with a limited amount of information."To test the effectiveness of the FALCON strategy, the researchers created an extremely challenging test setup in the <a href="http://windtunnel.caltech.edu/">John W. Lucas Wind Tunnel</a> at Caltech. They used a fully equipped airfoil wing system as their representative UAV, outfitting it with pressure sensors and control surfaces that could make adjustments online to things like the system's altitude and yaw. They then positioned a large cylinder with a moveable attachment in the wind tunnel. When wind flowed over the cylinder, it created random, major fluctuations in the wind reaching the airfoil."Training a reinforcement learning algorithm in a physical turbulent environment presents all kinds of unique challenges," says Peter I. Renn (BS '19, PhD '23) co-lead author of the paper who is now a quantitative strategist at Virtu Financial. "We couldn't rely on perfectly clean signals or simplified flow simulations, and everything had to be done in real time."After about nine minutes of learning, the FALCON-assisted system was able to stabilize itself in this extreme environment."With each new observation, the program gets better because it has more information," says Anandkumar."The future really depends on how powerful the software gets in terms of needing less and less training," says Gharib. "Quick adaptation is going to be the challenge, and we are going to push, push, push."Looking to the future, he adds that the researchers envision giving UAVs and even passenger planes the ability to share sensed and learned information about conditions with each other. Such plane-to-plane sharing of sensor measurements and artificial intelligence–based learning, especially when in the vicinity of a disturbance, could help keep aircraft safe."I believe that's going to happen," says Gharib. "Otherwise, things will get pretty dangerous as extreme weather events increase in frequency."The paper, "FALCON: Fourier Adaptive Learning and Control for Disturbance Rejection Under Extreme Turbulence," was published online on September 24. Babak Hassibi, the Mose and Lillian S. Bohn Professor of Electrical Engineering and Computing and Mathematical Sciences at Caltech is also an author of the new paper. The work was supported by CAST and by grants from the National Science Foundation and the U.S. Office of Naval Research.

In nature, flying animals sense coming changes in their surroundings, including the onset of sudden turbulence, and quickly adjust to stay safe. Engineers who design aircraft would like to give their vehicles the same ability to predict incoming disturbances and respond appropriately.

AI-Trained Vehicles Can Adjust to Extreme Turbulence on the Fly

FPSOs (Floating Production Storage and Offloading units) demand meticulous inspection due to exposure to harsh marine environments, including waves, currents, and saltwater corrosion. Additionally, given the nature of the asset, corrosion monitoring in hull tanks and oil storage is critical. Advanced inspection and monitoring can help prevent catastrophic events. Ultrasonic Testing (UT) and Visual Testing (VT) are imperative methods employed to ensure the structural integrity of these vessels. These inspections identify corrosion, erosion, or damage that may compromise their strength, allowing for timely repairs and maintenance to prevent costly downtime or accidents caused by tank failures.Assessing assets such as FPSO tanks presents numerous challenges, including high temperatures and limited access through conventional methods like scaffolding or rope access in confined spaces. However, the industry is evolving by embracing innovative technologies like Unmanned Aerial Vehicles (UAVs). While UAVs can operate autonomously, they are typically controlled remotely by a human pilot. Additionally, specialized equipment tailored for high-temperature environments is being integrated to enhance inspection efficiency and effectiveness.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzI3Mzc3MzIwMTMxLVBpY3R1cmUyLnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib">Elevated temperatures within the FPSO pose significant challenges.Recently, Avestec achieved a successful milestone by conducting a comprehensive inspection of an FPSO tank, employing the cutting-edge technology of SKYRON. The mission was meticulously designed to conduct both UT and VT inspections within the confined spaces of the FPSO tank. Leveraging SKYRON's advanced capabilities, the VT inspection meticulously captured General Visual Inspection (GVI) and Close Visual Inspection (CVI) HD images, while UT readings were diligently collected from the tank’s surfaces. Despite facing scorching ambient temperatures reaching up to 46°C, SKYRON's performance remained unparalleled, thanks to its integrated proprietary cooling system, ensuring peak efficiency even in the most challenging conditions. SKYRON is also equipped with two long-range video systems optimized for operation in metallic confined spaces. One link transmits HD video for inspection, and the other transmits low-latency FPV (First Person View) video for navigation. The FPV allows inspectors to stay in a safe place and have a view of the areas being inspected.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1727378118456-Picture03.png" style="width: 100%px;" class="fr-fic fr-dib">First Person ViewFor the inspection within confined spaces, SKYRON's capabilities shone brightly. Equipped with a robotic arm for UT and a gimbal-mounted camera for VT, SKYRON navigated narrow spaces with remarkable ease, efficiently capturing crucial data. SKYRON UT utilizes a robotic arm on the front of the flying platform, allowing the UT transducer to take measurements at 25 points within a 2" x 2" square grid. Additionally, the robotic arm seamlessly attaches to surfaces of various angles and curvatures, including narrow horizontal and vertical stiffener flanges, enhancing the quality of contact-based UT readings. On the other hand, SKYRON VT utilizes a gimbal mounted on the front of the flying platform, enabling a full ±90o pitch for a floor-to-ceiling view. The gimbal is equipped with a Sony camera, featuring a full-frame lens mirrorless camera with a motorized lens for remote zooming, a laser pointer, lidar, and a lighting system for operation in dark environments.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1727378226420-Picture4.png" style="width: 100%px;" class="fr-fic fr-dib"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1727378197184-Picture5.png" style="width: 100%px;" class="fr-fic fr-dib">SKYRON's tether cableMoreover, SKYRON's tethered design eliminates the need for batteries, ensuring uninterrupted operation and longer flight times in hot environments. The smart tether system is developed to supply power to the flying robot at lengths of up to 100m. It also incorporates a server that runs a proprietary inspection, robotic control, temperature monitoring, and reporting software application. This system is complemented by our software Avesoft, which permits real-time data transmission and report generation. All GVI (General Visual Inspection), CVI (Close Visual Inspection), and UT (Ultrasonic Testing) measurements were captured using SKYRON, with ABS surveyor approval. This serves as a significant step toward method approval, as SKYRON can be considered a new approach for FPSO inspections, eliminating the need for humans to work at height using ropes or scaffolding.In conclusion, SKYRON proves to be a game-changer in FPSO inspections, offering enhanced safety for inspectors, faster assessment processes, and reduced costs. Its ability to operate in challenging environments, coupled with its advanced capabilities, positions SKYRON as a reliable solution for ensuring the integrity of FPSOs worldwide.

Utilizing SKYRON Technology

Optimizing FPSO Inspection Processes

As Non-Destructive Testing (NDT) technology advances, industries like energy, oil and gas, and maritime cargo are demanding more sophisticated, efficient, and safer inspection methods. Traditional approaches may no longer meet the complex requirements of today’s critical infrastructure inspections.&nbsp;Avestec's&nbsp;latest development, SKYRON 2, introduces significant advancements in this area, notably through its use of SLAM (Simultaneous Localization and Mapping) technology and 3D mapping capabilities.&nbsp;Importance of SLAM and 3D Mapping in Inspection Industries&nbsp;1. Enhanced Precision and Accuracy&nbsp;SLAM technology allows robots to generate detailed, real-time 3D maps of their surroundings while concurrently tracking their own position. This capability is essential for high-precision inspections of critical assets such as pipelines, cargo hulls, and FPSOs (Floating Production Storage and Offloading units). Traditional methods often involve manual measurements and visual inspections that can be prone to errors. By integrating SLAM with 3D mapping, SKYRON 2 offers a more&nbsp;accurate&nbsp;and comprehensive view of the asset, minimizing missed defects and improving overall inspection quality.&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzI1NDI2MzE0NTgxLWNhcmdvLXRhbmttZWFzdXJlbWVudC5wbmciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 100%px;" class="fr-fic fr-dib">2. Efficient Data Collection&nbsp;3D mapping is crucial for efficient data collection, particularly in complex and expansive environments like large oil and gas refineries. With SLAM-equipped tools, inspectors can cover extensive areas and intricate structures more swiftly than with manual methods. This efficiency not only accelerates the inspection process but also reduces downtime for critical assets, thus supporting continuous operations and cost management.&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzI1NDI1ODk4NzA1LU1lYXNzdXJlbWVudC5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 100%px;" class="fr-fic fr-dib"> 3. Real-Time Navigation and Analysis&nbsp;Real-time 3D mapping&nbsp;facilitates&nbsp;dynamic navigation and immediate data analysis. SLAM technology provides live updates on the robot’s position and environmental conditions, enabling operators to make informed decisions during inspections. This is particularly&nbsp;advantageous&nbsp;in hazardous or confined spaces where traditional methods might be inadequate. The ability to adapt to real-time conditions and address issues as they arise enhances inspection effectiveness and contributes to better maintenance practices.&nbsp;4. Safety Enhancements&nbsp;Safety is a major concern in many inspection environments, especially in high-risk or hard-to-reach areas. SLAM and 3D mapping technologies enable inspectors to&nbsp;operate&nbsp;from a safe distance, reducing the need for direct human involvement in potentially dangerous conditions. Remote-controlled robots equipped with these technologies mitigate risks and ensure inspections can be conducted in areas where human access may be restricted or unsafe.&nbsp;5. Detailed Asset Analysis&nbsp;The high-resolution point clouds produced by SLAM technology offer detailed insights into the condition of inspected assets. This level of detail supports thorough analysis and detection of even minor defects or anomalies. For precision-critical industries like&nbsp;energy and oil&nbsp;and gas, detailed 3D models&nbsp;facilitate&nbsp;accurate&nbsp;assessment and informed decision-making for maintenance and repairs.&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzI1NDI2MzI1OTA0LTNEbWFwLnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib">6. Integration with Advanced Technologies&nbsp;SLAM and 3D mapping are integral to the integration of advanced technologies such as sensor-fusion systems and autonomous navigation. By combining data from multiple sensors, including LiDAR, cameras, and IMUs (Inertial Measurement Units), SLAM enhances the robot’s operational capabilities in diverse and challenging environments. This integration improves the reliability and accuracy of inspections, expanding the range of applications and enhancing overall tool performance.&nbsp;SKYRON 2’s Contribution&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzI1NDI2MzQ0NjI0LVNLWVJPTjIuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 100%px;" class="fr-fic fr-dib"> SKYRON 2 exemplifies these advancements by incorporating a sophisticated SLAM processing engine and high-resolution 3D mapping features. Its ability to produce detailed, real-time 3D maps ensures high precision in inspections, even in complex and dynamic environments. The integration of sensor-fusion technology further enhances its effectiveness, providing a comprehensive solution for modern industrial inspection challenges.&nbsp;In summary, SLAM and 3D mapping are pivotal in advancing the inspection industry by offering enhanced precision, efficiency, real-time navigation, and safety.&nbsp;Avestec’s&nbsp;SKYRON 2&nbsp;leverages&nbsp;these technologies to deliver a powerful and precise inspection tool, addressing the evolving needs of various industries and setting a new standard in industrial asset inspection and management.&nbsp;

The Role of SLAM and 3D Mapping in Modern NDT Inspection Technologies

Elevating Industrial Asset Inspection

Drones are integral to military operations globally, especially in high-risk environments where manned flight is impractical. Learn how to integrate sensors into these devices properly. 

Drone PCBAs: Tackling Sensor Integration for Defense & Beyond

Introducing SKYRON 2, the latest innovation in flying robotic inspection explicitly tailored for the non-destructive testing industry. Building upon SKYRON's visual and contact-based inspection tools, SKYRON 2 offers advanced capabilities for comprehensive assessments. Safety during flight operations is prioritized with SKYRON 2. A full product release on SKYRON 2 will happen later this May.

The latest innovation in inspection flying robots explicitly tailored for the non-destructive testing (NDT) industry.

SKYRON 2 Release

<h1 id="isPasted"> </h1><section>When you hear the word “drone,” you likely imagine an airborne device the size of a hat box that uses propellers to fly and is controlled remotely by someone in the immediate vicinity, perhaps in a park or another open area. Recreational drones like these have become increasingly popular in recent years.But if you expand your definition of drones to include all unmanned aerial vehicles (UAVs), ranging from long-range drones used in military applications, to transport vehicles, to insect-sized drones, their potential applications expand exponentially. Imagine commercial airliners without pilots, drones capable of transporting shipping containers like those now delivered by trucks and ships, or even tiny, dexterous drones that fly into narrow gaps like insects.While there are many obstacles for developers to overcome before these innovations can become a reality, the technology is evolving quickly – much faster than you might expect. This blog discusses where the technology currently stands and where it may go.<h2></h2><h3>High-Capacity Drones: Autonomy and Engine Innovations</h3>Scaling up drones to carry larger payloads, fly at higher altitudes, and travel greater distances presents major challenges for developers. Currently, semi- and fully autonomous large-scale drones (classified as UAVs that can carry a payload of greater than 1320 pounds and operate at altitudes greater than 18,000 feet) are most commonly implemented by military organizations to replace aircraft piloted by human operators.Unlike smaller counterparts that rely on electric motors, larger drones use more robust internal combustion or jet engines. Not just a matter of size scaling, this means enhanced efficiency, reduced weight, and optimized fuel consumption, while also delivering precision control crucial in moving large loads.By removing the human pilot and the various systems needed to support him, most large-scale drones are lighter and are usually built from lighter materials like plastics or carbon fibers. This increases the range of the vehicle. It can also reduce engine weight without compromising strength.This is especially true for high-altitude long-endurance (HALE) drones. HALE drones must stay airborne for extended periods, sometimes days, at various altitudes and temperatures, and are often solar-powered. They are ideally suited for reconnaissance. In 2021, the U.S. Forest Service began testing HALE drones to locate and fight wildfires.However, UAVs that operate at higher altitudes have more difficulty dissipating heat in the thinner atmosphere where they fly. <a href="https://www.macrofab.com/blog/overview-pcba-manufacturing-processes-technologies/" target="_blank">Printed circuit boards</a> for larger UAVs require additional heat transfer and use additional metal to connect to heat sinks to maximize performance at higher altitudes. This must be taken into consideration at the design stage. Simulating heat generation, flow, and dissipation in the development process is a valuable tool for these types of designs.In terms of operational control, remotely piloted ICE (internal combustion engine) or jet aircraft aren’t significantly different from their traditional onboard piloted counterparts. A human operator guides the drone from a station with controls and monitors that are similar to the ones in airplane cockpits while cameras and radar-based imaging systems provide the visuals.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1714573625993-1714573625993.png" alt="Drone carrying package" class="fr-fic fr-dii">“Flying cars,” or “air taxis,” are already a reality, with China approving the first self-driving air taxi late in 2023. <a href="https://www.faa.gov/air-taxis" target="_blank">Similar air taxis are being planned in the USA</a>, though they will initially require a pilot on board for safety.However, a significant hurdle in designing UAVs for human transportation or valuable cargo lies in bridging the information gap. While current sensors can track weather conditions, altitude, and airspeed, they cannot do so with the speed and sensitivity necessary. Onboard pilots can sense subtle changes in an aircraft’s behavior intuitively, a nuance challenging to replicate with sensors. By 2030, 6G wireless networks should significantly alleviate this issue by enabling ultra-low latency and improved data reliability, enhancing sensor responsiveness.Lastly, many UAVs today boast semi-autonomous features like the ability to return to their starting point unaided. Autonomous or semi-autonomous flight software must be capable of dynamically adjusting flight paths in response to changing conditions, akin to how commercial airline pilots maneuver to avoid turbulence. This capability underscores the ongoing evolution and increasing sophistication of UAV technology in adapting to complex operational environments.<h2></h2><h3>Compact Drone Engineering: Revolutionizing Small-Scale UAVs</h3><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1714573626104-1714573626104.png" alt="Compact drone engineering" class="fr-fic fr-dii">Every drone, from super large to shoe-box sized, relies on motors or engines to propel itself. In contrast to making drones larger, which requires increasing their power while reducing their overall weight, making them smaller necessitates removing motors altogether.Using actuators to mimic how an insect flaps its wings plays a role in “micro drone” design. Early versions of this technology used ceramic materials to conduct and store electricity, but their inherent fragility made them unsuitable for repeated use.The most recent innovations implement soft actuators composed of rubber cylinders surrounded by carbon nanotubes. Applying voltage causes the rubber cylinders to expand and contract repetitively and at high frequency (as much as 500 times per second), causing the drone “wings” to flap up and down.These tiny drones, with their soft actuators, are resilient and capable of withstanding mid-air collisions, making them suitable for various tasks, including agricultural monitoring and pollination. Future uses may include structural inspection, search and rescue, surveillance, and data collection.<a href="https://www.macrofab.com/prototyping/" target="_blank">PCB designs</a> for smaller, more malleable devices have to consider factors like weight, rigidity, and resistance to impact and vibration. As in the case of larger UAVs, software simulation to test mechanical reliability in smaller UAVs is a valuable development tool.<h2></h2><h3>The Future of UAVs Great and Small</h3>In the future, UAV commercial passenger flights or large material transport using entirely autonomous flights still have some design challenges to overcome. Regulations, however, are more likely to hinder their long-term progress. Like self-driving cars, the adjustment period will require examining and discussing the risks and rationale of flying without a human pilot, with safety always taking precedence.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1714573626041-1714573626041.png" alt="Uav future" class="fr-fic fr-dii">On a smaller scale, however, UAVs may have more immediate practical applications. With micro drones with cameras that relay images back to a human operator, inspecting intricate mechanisms is possible in small spaces that are otherwise impossible to reach without dismantling the entire mechanism, such as industrial motors or airplane engines. Drones can even be used during natural disasters to locate missing or injured people who cannot be reached by rescue workers.As UAVs shrink and grow, it will alter how we define them. Along with providing previously difficult-to-obtain images and delivering small payloads, UAVs will become a practical and labor-saving alternative to traditional means of transportation, cultivation, and commerce.</section><h3>Need UAV PCBAs Manufactured?</h3><a href="https://www.macrofab.com/pcba/" target="_blank" rel="noopener noreferrer">Check out MacroFab’s PCBA production services</a>

UAV technology continues to expand and become increasingly sophisticated. 

The Future of UAV Design: Very Big and Very Small

SKYRON is revolutionizing ship inspections by seamlessly conducting ultrasonic and visual testing in a single day,&nbsp;leveraging&nbsp;its advanced capabilities and efficient payload exchange system. This streamlined approach ensures thorough inspections within expedited timelines, which is crucial for ships needing to return to operations swiftly&nbsp;&nbsp;In the video above,&nbsp;SKYRON&nbsp;showcased&nbsp;its ability to navigate through a ship's cargo hold, conducting both ultrasonic thickness measurements and high-definition visual inspections with unparalleled speed and precision. The urgency to complete inspections before a ship's departure underscores the importance of swift yet thorough assessments, a challenge SKYRON meets effortlessly.&nbsp;Equipped with a precision-oriented SONY A7 camera featuring 3x optical zoom, adjustable LED lighting, and a laser pointer for pinpoint accuracy, SKYRON captured detailed visuals of critical areas prone to corrosion. Additionally, the integration of an Olympus 38DL Plus gauge and a robotic arm for ultrasonic readings guaranteed precise measurements within expedited timelines.&nbsp;The streamlined operations&nbsp;facilitated&nbsp;by SKYRON's proprietary&nbsp;Avesoft&nbsp;software allowed for real-time data processing and location tagging,&nbsp;providing&nbsp;immediate&nbsp;insights&nbsp;and ensuring that inspections are completed efficiently. This combination of advanced technology and expedited operations ensures that ship inspections are thorough,&nbsp;accurate, and aligned with the industry's demand for prompt assessments without compromising on quality.&nbsp;With SKYRON's ability to perform dual ultrasonic and visual testing within expedited timelines, the maritime industry can rely on efficient inspections that enable ships to return to operations swiftly and safely.&nbsp;

Witness how SKYRON's advanced tech and rapid testing capabilities revolutionize ship inspections, ensuring thorough assessments in record time for ships returning to operations.

SKYRON: Revolutionizing Ship Inspections with Dual Testing Efficiency

Drone delivery represents a groundbreaking shift in logistics, intertwining technology with the everyday need for fast, efficient package delivery. This innovation has spurred anticipation and speculation about its potential to revolutionize the delivery landscape, promising speed and convenience previously unimaginable. Yet, the path to its realization is paved with challenges and triumphs, reflecting a continuous technological evolution and adaptation journey.<h2 id="isPasted">Historical Barriers to Drone Delivery</h2><h3>Regulatory Challenges</h3>Aviation laws crafted for manned aircraft did not foresee the rise of unmanned aerial vehicles (UAVs) has resulted in a regulatory landscape ill-prepared for drones' unique demands and operational characteristics. The variations in these regulations across different countries and regions further complicated the picture. In some areas, strict airspace control and stringent UAV regulations severely limited the operational freedom necessary for commercial drone delivery, leading to a slower pace of adoption and innovation.These regulations often required extensive navigation through bureaucratic channels, delaying pilot programs and full-scale implementations. The struggle to fit the square peg of drone delivery into the round hole of traditional aviation regulations has been a defining aspect of its early development stages.<h3>Technical Limitations</h3>In their nascent stages, drones were plagued by restricted battery life, limiting their range and endurance. Early navigation systems were rudimentary, lacking the sophistication needed for precise, reliable delivery operations. Payload capacity was another critical issue, as initial drones could carry only minimal weight, rendering them impractical for most commercial delivery applications. Control mechanisms were also in their infancy, lacking the advanced features necessary for smooth and autonomous operation in varied environments.These technical barriers impeded the practical application of drone delivery and posed questions about the reliability and efficiency of such a system in a real-world logistics scenario. Overcoming these hurdles required concerted efforts in research and development, pushing the boundaries of what was technically feasible.<h3>Safety and Privacy Concerns</h3>Safety and privacy concerns were at the forefront of drone delivery during the initial phases. Many people within the public and regulation boards were apprehensive of drones, envisioning only how they could lead to accidents and injuries rather than looking at the benefits. With fears of malfunctioning systems leading to collision damage and privacy concerns around unwarranted surveillance and intrusion, it was clear drones had obstacles to pass before they would be widely adopted.These concerns were not untrue, as early models definitely lacked the sophisticated safety and privacy protocols that are now in development. This apprehension was critical in shaping public perception and regulatory attitudes toward drone delivery, often resulting in more stringent controls and slower adoption rates.<h3>Economic Viability</h3>Finally, the economic viability of drone delivery technology was a significant barrier to its adoption. The initial investment required for developing and deploying drones, especially given their technical and regulatory limitations, was substantial. Businesses and investors questioned whether its promised efficiency and speed could justify the cost of implementing a drone delivery system.There were concerns about the return on investment, especially in uncertain regulatory environments and unproven technology. This economic skepticism was a major hurdle for early adopters and innovators in the field, who had to refine the technology and demonstrate its cost-effectiveness in a competitive logistics market.<ins cite="mailto:Jessica%20Miley" datetime="2024-02-27T08:42"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzA5ODE2MzA2NjgxLWRyb25lMi5wbmciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 768px;" class="fr-fic fr-dib">A drone launches from drone delivery company, Zipline's California-based test facility By Roksenhorn</ins><h2> Technological Advances Overcoming Past Barriers</h2><h3>Advancements in Battery and Energy Efficiency</h3>One of the most significant drone technology strides has been battery and energy efficiency. Recent breakthroughs in battery technology have resulted in dramatic improvements in both the energy density and longevity of drone batteries. The result? Longer flight durations and extended operational ranges. This overcomes one of the primary limitations of early drone models.&nbsp;The addition of alternative energy sources like solar power and hybrid systems has also opened up new possibilities for extended flight times. With these advancements, drones have become more practical for a wider range of delivery routes, including remote locations and those that require lengthier journeys.<h3>Navigation and Autonomy</h3>The integration of advanced GPS and more sophisticated obstacle detection systems has revolutionized navigation and autonomy for drones. With their state-of-the-art navigation systems, drones are able to precisely and reliably navigate complex and dynamic environments.&nbsp;The systems have the ability to process vast amounts of data, allowing them to navigate around obstacles and adapt to changing conditions with ease. This results in a more autonomous delivery system that can operate successfully with minimal human interaction, therefore reducing potential human error and increasing efficiency.<h3>Safety Mechanisms</h3>The industry has responded to safety concerns by developing systems with advanced collision avoidance along with redundant design features. Drones have safety sensors and software that allow them to detect and avoid obstacles. They also have fail-safe protocols that kick in during emergencies along with robust structural designs to enhance durability. These improvements have played an important role in mitigating the risks of accidents and malfunctions while bolstering the public and regulatory trust in drone systems.<h3>Scalability Solutions</h3>With drone technology continuing to advance, scalability is becoming increasingly prevalent. Drone delivery is becoming more economically viable thanks to mass production and technological refinement. Advancements in the design and manufacturing of drones have led to cost reductions and improvements in their operational efficiency have increased the drone delivery value proposition. This scalability is an essential component of drones becoming widely adopted and transforming the logistics and package delivery landscape.<h2>Current State of Drone Delivery Technology</h2><h3>Latest Drone Models</h3>The landscape of drone delivery technology is characterized by a diverse range of models, each designed for specific delivery tasks. Compact and lightweight drones are being used for small parcel delivery. You’ll find them in urban areas where their agility and small size allow for efficient navigation through tight spaces.Meanwhile, large drones are equipped to transport heavier weights over long distances. This showcases the versatility of drone technology in various delivery scenarios. Take, for example, the newest Prime Air drones, which are set to operate in select UK and Italian cities along with three U.S. locations by the end of 2024. The MK30, Prime Air's latest model, has been introduced as a notable addition to their fleet. This model stands out for its unique design and capabilities, positioning it as a frontrunner in package delivery drones.<iframe width="640" height="360" src="https://www.youtube.com/embed/Oy4GALqZlHA?&amp;feature=youtu.be&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true">&nbsp;&nbsp;&nbsp;&nbsp;</iframe><h3>Infrastructure Integration</h3>The integration of drone delivery into existing logistics networks has marked an enormous leap in technology’s practical application. It takes a multifaceted approach, adapting to the current infrastructure and developing new systems designed specifically for UAV operations.&nbsp;Logistics companies are experimenting with various models to accommodate drone delivery. This includes drone-friendly warehouses, dedicated air corridors for flights, and specialized launch and recovery systems. These adaptations allow drones to work to complement traditional delivery methods toward the goal of creating a hybrid system that offers greater efficiency and flexibility.<h3>Consumer Interaction</h3>A critical aspect of the current state of drone delivery technology is its interaction with consumers. Innovative solutions for end-point delivery include secure drop-off points where packages can be safely deposited for customer retrieval. There’s also precision landing technology to allow drones to deliver packages accurately to specific locations, whether than be in the backyard or any designated receiving area.&nbsp;Customer interaction systems have also been developed to provide notifications and tracking options to enhance the overall user experience. The combination of these technologies addresses concerns around security and convenience while also recognizing the importance of customer experience within the broader adoption of drone delivery services.<h2>The Future of Drone Delivery</h2><h3>Expanded Regulatory Frameworks</h3>Regulatory frameworks are anticipated to evolve alongside maturing drone delivery. We can expect future regulations to be more finely tuned in accordance with the unique nature of drone operations. This will facilitate a more supportive environment for widespread use by developed nuanced airspace management systems. These systems will allow drones to operate safely alongside traditional aircraft while minimizing disruptions to air traffic.We can also expect safety standards specifically tailored to UAV operations to address the unique risks and operational characteristics. These changes will promote a safer and more efficient integration of drones into the logistics ecosystem and provide clearer guidelines for enterprises utilizing them.<h3>Next-Gen Technology</h3>Technological advancements, particularly in artificial intelligence (AI), are set to redefine drone delivery even further in the coming years. AI enables drones to make complex decisions independently, adapt to changing environments with more effectiveness, and improve their overall navigation capabilities. This could include advanced coordination in swarm deliveries, dynamic route optimization in real-time, and improved interactions with customers.&nbsp;<h3>Market Integration</h3>We’re on the cusp of drone delivery becoming a standard feature among various sectors beyond parcel delivery. In health care, for example, drones offer the potential for rapid and timely delivery of medical supplies. That could be emergency medications, blood products, or anything directly impacting patient care. In the food industry, drones could revolutionize how we receive our meals, offering faster and more efficient delivery services than traditional methods. The flexibility and speed of drones make them particularly suited for urgent or time-sensitive deliveries across many market segments.<h3>Global Impact</h3>The global impact could be particularly profound. The most significant benefit is the potential for enhanced access to goods and services. This is especially important in remote areas where traditional delivery methods are less efficient or even unavailable. This will lead to greater equity in distribution along with improved access to essential items.Drone delivery presents the prospect of substantial environmental benefits by replacing or supplementing traditional delivery vehicles. They can help to reduce carbon emissions and traffic congestion, contributing to a far more sustainable urban environment.<h2>Conclusion</h2>Drone delivery technology is a pivotal point, poised to transform the logistics industry fundamentally. Its evolution, overcoming initial barriers through continuous innovation, heralds a future where efficiency, speed, and convenience are paramount. As this technology progresses, it will reshape how we receive packages and exemplify the enduring importance of innovation in driving future progress.

Drone delivery represents a significant technological advancement in logistics.

Looking Up for Your Packages: The Evolution and Future of Drone Delivery Technology

Unmanned and autonomous vehicles have revolutionised mobility and the evolving passenger car market, driving billions of dollars in investments to the sector. Even after a series of setbacks in customer adoption, everyone agrees that the future of robotics in autonomous vehicles is bright. It has a massive potential to transform the transportation industry by generating hundreds of billions of dollars and creating massive job opportunities.&nbsp;But the influence of unmanned and autonomous vehicles (UAVs) isn't limited to roads alone. Space missions, environmental monitoring, surveillance security and infrastructure monitoring are some UAVs’ applications. Despite their live-changing uses, the lack of interoperability between these advanced mobile techs and their disparate platforms poses a significant challenge to future adoption, hindering multi-vehicle, multi-domain missions.<h1 dir="ltr">Interoperability: Enabling Swarm Intelligence</h1>For UAVs, interoperability is defined as a system's capability to work with other systems based on standards or reference models. This concept is crucial for connecting multiple platforms into a coordinated vehicle network, commonly called swarms. Swarms refer to a herd of autonomous vehicles that function as a single unit. Swarms represent the next level in autonomous vehicle technology, as they can multiply the benefits in coverage, time, efficiency, and resolution. Its practical uses are experimented with in firefighting, parcel deliveries, and disaster response. These advantages, however, are only possible if every element of the swarm works in harmony.&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzA5MDI2OTIxODA4LTE3MDkwMjY5MjE4MDgucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" width="624" height="475" class="fr-fic fr-dii">Quadcopter drone. Image credit:<a href="https://dronebotworkshop.com/category/drone/" target="_blank" rel="noopener noreferrer">&nbsp;DroneBotWorkshop</a>The above would mean that interoperability trends must focus on better coordination among diverse robot fleets. These swarm-enabling technologies must be functional to make factors like task delegation, path planning, and autonomous communications among these UAVs seamless. This is what recent fleet management software advancements aim to achieve, enhancing communication between unmanned vehicles (UAVs) and enabling simultaneous control.&nbsp;In different UAV manufacturing sectors, the goals could be different. For example, robot-to-robot partnerships aim for cross-manufacturer cooperation in disaster relief and environmental monitoring. Cloud robotics integrates cloud computing, improving scalability and data exchange for multi-UAV systems. Integrating AI and ML equips UAVs with autonomous decision-making abilities, aiding adaptability and effective communication with other systems in dynamic scenarios.<h2 dir="ltr">Interoperability Trends</h2>The latest trends in interoperability focus on getting UAVs to work together seamlessly. Imagine a team of different robots, like drones, working in sync. Advancements in software design can help them communicate and be controlled simultaneously, regardless of their manufacturer. Another trend is UAVs that can autonomously communicate or 'talk' to each other, for example, teaming to handle disaster management or environmental tasks. Cloud computing is being integrated into robotics to further increase operations and data exchange scalability. Moreover, with the latest advances in AI and ML, UAVs and robots are being introduced to autonomous thinking to provide more efficacious responses in real-time scenarios.One of the primary challenges in achieving interoperability is the development of standardised communication protocols and data-sharing mechanisms. Conducting research, developing standards, and designing frameworks is essential to ensure seamless data exchange and coordination among various systems, allowing them to operate effectively as a cohesive unit.<h1 dir="ltr">Welcoming Standards</h1>Like every new technology, unmanned vehicles require regulations and standards to control and integrate their operations into the existing transportation frameworks. In light of its growing popularity, governments worldwide are currently working on devising regulations and creating standard scenarios for UAV operations.&nbsp;Standardisation is crucial for autonomous vehicles, like drones used in disaster relief and environmental tasks. It makes operations safe and reliable and helps different drones work together smoothly. This way, accidents are reduced, and coordination is improved. It also helps follow the rules set by governments, ensuring responsible and legal use.Standardisation and regulations will also aid in developing UAVs, ensuring that they are built to last, tested, and utilised in a way that complies with safety requirements. These regulations will also influence the design, deployment, and operation of swarm-enabling technology - a combination of hardware and software that allow multi-robot platforms to perform responsive swarming. The technology is just as important as the hardware used in creating these UAVs, as it is the main controlling agent between the swarm commander and the vehicles in the swarm. So, these technologies would be under even more intense scrutiny as the situations in which these UAVs would be used in are likely to be intense.&nbsp;<h1 dir="ltr">Challenges And Solutions To Greater Uav Use</h1>The absence of standardised protocols presents a significant hurdle: UAVs from different makers cannot collaborate effectively. This lack of compatibility hampers the engineering aspects of missions involving multiple vehicles and domains. It also obstructs the advantageous prospect of integrating diverse UAVs into a synchronised network. Consider large-scale search and rescue efforts, where numerous UAV swarms, sourced from various suppliers and groups, must cooperate seamlessly. Comparable scenarios arise in endeavours such as maritime cleanup, environmental monitoring, and delivery operations.Another issue arises when a UAV communicating with one remote pilot station needs to shift communications to another station. Situations like these require new standards and technologies that are not traditionally included in older regulations. The primary and most crucial step towards interoperability is establishing unified standards for UAVs. Nations around the world have recognised this need, and they are gradually integrating standards and scenarios for UAVs into existing transportation laws. Moreover, a cross-domain command, control, and communications paradigm for heterogeneous unmanned vehicle operations must be established. This paradigm should connect platforms across manufacturers, architectures, and interfaces, enabling seamless communication and coordination between various systems.Collaborative research and development efforts, establishing partnerships between industry, academia, and government agencies, investment in interoperability research, and training and education in this domain will be essential for addressing the technical challenges associated with interoperability.These solutions are expected to reduce the costs and complexity of unmanned systems drastically, minimise compatibility issues, lead to successful cross-domain missions, and encourage collaboration and technology development. Greater interoperability is also expected to enhance the operational capabilities of individual UAV systems.<h1 dir="ltr">Advanced Navigation and Interoperability</h1><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzA5MDI2OTIyOTk1LTE3MDkwMjY5MjI5OTUucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" width="624" height="416" class="fr-fic fr-dii"><a href="https://www.advancednavigation.com/" target="_blank" rel="noopener noreferrer">Advanced Navigation</a> is a leading provider of inertial navigation systems and GNSS solutions. The company operates in various industries, including aerospace &amp; defense, maritime, robotics &amp; unmanned vehicles, automotive, and mining. They offer advanced solutions aimed at enhancing the performance of autonomous systems through precise navigation and localisation technologies, making them suitable for applications like drone swarming, precision agriculture, and autonomous vehicles.Addressing the issue of interoperability in uncrewed vehicle technology, Advanced Navigation recently unveiled <a href="https://www.cloudgroundcontrol.com/" target="_blank" rel="noopener noreferrer">Cloud Ground Control </a>(CGC), an innovative SaaS product aimed to reshape how multiple users, vehicles, and domains can efficiently collaborate seamlessly across air, land, sea, and space operations.CGC is designed to streamline the control and coordination of uncrewed vehicles, allowing pilots and mission planners to oversee a swarm of drones remotely via a simple web browser interface. This platform enables users to manage multi-vehicle operations, access real-time video feeds and telemetry, and efficiently manage collected data. However, what truly sets CGC apart is its capability to run sophisticated AI algorithms directly in the cloud. This enables functionalities like real-time object detection, tracking, classification, and thermal imaging, providing invaluable situational awareness during unfolding events.One key application of CGC is in search and rescue operations, emergency response, and disaster relief scenarios. By offering complete visibility and control over unmanned vehicles in critical situations, CGC assists in making timely and informed decisions, ultimately saving lives and resources. Furthermore, the cloud-based nature of CGC ensures that essential data and processing power are accessible from anywhere, enhancing operational flexibility.Advanced Navigation recently launched the CGConnect cellular micro-modem. This device utilises 4G/5G networks to connect UAVs and robotic vehicles to the CGC platform. CGConnect enables live streaming, remote command and control, and AI-powered data analysis through a web browser. It serves as a bridge, securely connecting vehicles regardless of their manufacturer or model, effectively creating a unified autonomous fleet capable of functioning across different domains.To maintain interoperability among various autonomous vehicles, CGConnect is designed with adherence to industry standards. The platform operates as an open environment, unrestricted by the constraints of manufacturer-specific software. This feature unlocks a world of possibilities for enterprises seeking to manage diverse autonomous vehicles within their fleets. High-grade safeguards against data breaches and vulnerabilities and compliance obligations are maintained, allowing users to operate confidently within established regulations. The integration of edge AI further enhances CGConnect's capabilities, enabling intensive object identification and classification directly on the vehicle, a crucial feature for dynamic missions.<h1 dir="ltr">Future Challenges And Opportunities</h1>The major foreseeable challenges in interoperability lie with cybersecurity, scalability, cross-domain standardisation, integration of legacy systems, and customisation and flexibility of UAV systems. Increased connectivity and data exchange will make systems more prone to hacking. Hence, robust data security systems will be essential. Scalability concerns will arise as the number of UAVs grows, and managing and coordinating swarms will become more complex. Other challenges include adopting the same standards across different industries and integrating them into legacy systems. Lastly, with an increased demand for standardisation, it will become difficult for manufacturers to add customisation and innovation to their products.<h1 dir="ltr">Conclusion</h1>As autonomous unmanned vehicles (UAVs) shape the future of uncrewed expeditions, the keys to unlocking their full potential lie in advanced interoperability, autonomy, and command systems. Realisation of such advanced systems requires standardised communication protocols, ingenious data-sharing mechanisms, and collective endeavours by stakeholders. Amid this crescendo, Advanced Navigation's Cloud Ground Control (CGC) emerges as a pioneering solution to interoperability in UAV systems by transcending limitations and creating an open platform for diverse vehicles. With the integration of AI, ML, and cloud computing, CGC propels UAV operations towards a new era of collaborative and enhanced capabilities, carving a brighter horizon for the domain of autonomous vehicles.This article was contributed by Philemon Mayor and Fatima Khalid.<h2 dir="ltr" id="isPasted">References</h2>ASTM, 2022.&nbsp;Standard Specification for UAS Traffic Management (UTM) UAS Service Supplier (USS) Interoperability.&nbsp;[Online]. Available at:&nbsp;https://www.astm.org/f3548-21.htmlInteroperability Definition. Available at: https://www.techtarget.com/searchapparchitecture/definition/interoperability#:~:text=Interoperability%20refers%20to%20the%20degree,transmission%20and%20cross%2Dorganizational%20collaborationEU, 2017. Deployable SAR Integrated Chain with Unmanned Systems. [Online]. Available at: <a href="https://cordis.europa.eu/article/id/92979-unmanned-vehicles-to-the-rescue" target="_blank">https://cordis.europa.eu/article/id/92979-unmanned-vehicles-to-the-rescue</a>EU, 2018.&nbsp;Smart UNattended airborne sensor Network for detection of vessels used for cross-border crime and irregular entry.&nbsp;[Online]. Available at:&nbsp;https://cordis.europa.eu/project/id/313243Intelligence, M., 2022.&nbsp;Mordor Intelligence.&nbsp;[Online]. Available at:&nbsp;https://www.mordorintelligence.com/industry-reports/unmanned-systems-marketKim Mathiassen, F. E. S. P. B. A. T. G. D. C. M. B. J. G. R. K. T. N. J. R. J. P. a. A. V., 2021. Demonstrating interoperability between unmanned ground systems and command and control systems.&nbsp;International Journal of Intelligent Defence Support Systems,&nbsp;pp. 100-129.LSTS, 2015.&nbsp;SEAGULL.&nbsp;[Online]. Available at:&nbsp;https://lsts.fe.up.pt/project/seagullMassRobotics, 2021. Autonomous Mobile Robot Standards Published by MassRobotics. [Online] Available at: https://www.massrobotics.org/autonomous-mobile-robot-standards-published-by-massrobotics/

Swarm of micro air vehicles create a network (SMAVNET)

Unmanned and autonomous vehicles are transforming mobility across various sectors by attracting significant investment and promising economic growth, despite challenges in interoperability and customer adoption.

The Future of Unmanned And Autonomous Vehicles: Advanced Interoperability, Autonomy, And Command & Control Systems

Climate change is a pressing global challenge with severe consequences for ecosystems, economies, and societies. Human activities in the past decades have led to an unprecedented increase in greenhouse gas emissions, accelerating global warming and its destructive effects. Today, scientists across various technological domains are exploring ways to combat climate change and prevent the earth from a scorching future. Uncrewed vehicles have emerged as a promising solution to the managing climate change and expediting human efforts in containing its damaging effects.&nbsp;Uncrewed vehicles are autonomous machines operating without a human pilot or operator, and they come in various forms, such as aerial, ground, and marine. Applications of uncrewed vehicles in industries like agriculture, forestry, ocean monitoring, and disaster response can reduce greenhouse gas emissions, conserve energy, and protect natural resources by reducing or replacing other technologies that have high carbon emissions. Drone technology is already being used in innovative ways around the world to combat climate change, by providing cheaper and more effective ways to document, monitor and tackle it. &nbsp;This article explores uncrewed vehicles and their role in combating climate change. The discussion focuses on the role of these vehicles in different industries, the challenges and limitations associated with their deployment, and their future in the fight against climate change.<h2 dir="ltr">What are Uncrewed Vehicles?</h2>Uncrewed vehicles, or autonomous vehicles, are machines operating without direct human intervention. They rely on sensors, artificial intelligence, and control systems for navigation and task completion with minimal human input. Autonomy is achieved by combining technologies like computer vision, machine learning, and advanced control systems, enabling the vehicle to perceive its environment and make decisions based on data.<h3 dir="ltr">Monitoring and conservation</h3>Uncrewed vehicles are increasingly being used for environmental monitoring and conservation efforts. These vehicles are equipped with various sensors to collect data on a number of natural parameters including air, water and soil quality, temperature, and animal and marine life. This data is then analyzed through AI to form conservation strategies, track the movement of endangered species, and identify areas of high pollution. Uncrewed vehicles also have the potential to protect ecosystems by reducing the pollution generated by conventional transportation activities. For example, uncrewed vessels can replace manned ships for tasks such as oceanographic surveys, oil spill cleanups, and environmental monitoring, reducing emissions and the risk of accidental pollution. Similarly, using aerial drones in place of surface vehicles can reduce carbon emissions and provide greater movement.Drones are already being utilized globally for environmental monitoring and conservation. This is demonstrated by scientists of Imperial College London who have designed drones that can attach sensors to trees to monitor environmental and ecological changes in forests (1); in Costa Rica, drones have been used to monitor tree degradation and the impact of illegal logging (2); and Dendra Systems, a start-up from Oxford is using aerial drones to plant trees with an aim of achieving up to 100,000 trees a day at abandoned mines in Australia, and mangroves forests in Myanmar (3).&nbsp;<h3>Transportation and emissions</h3>Transportation is the fastest growing source of emissions worldwide, and accounts for 17% of global greenhouse gas emissions. Since 1990, transport emissions have grown at an annual average rate of nearly 1.7%, faster than any other sector (4). In order to achieve the target of zero net emissions by 2050, innovative ways of reducing these emissions will have to be adopted.&nbsp;Drones present a promising technology to assist in bringing these emissions down while still carrying out transportation activities. Uncrewed vehicles, particularly drones, and small ground vehicles, often use electric propulsion systems, which produce zero tailpipe emissions. As technology advances, electric propulsion becomes feasible for larger vehicles, like the autonomous electric cargo ship, Yara Birkeland, which aims to reduce CO2 emissions by up to 90%&nbsp;(5).Fueled partly by the pandemic, uncrewed vehicle industry has made rapid advances in the past few years. Improvements in battery storage and reductions in costs have resulted in drones that can fly much longer distances, while advances in automation and AI have made it possible to develop drones that can communicate and deliver payloads effectively. Many nations are currently working on regulations governing drone usage and it is only a matter of time before drone technology can replace a proportion of delivery traffic and the associated carbon footprint. It will also create many new opportunities for organizations to boost productivity and efficiency while protecting the planet.An example of a zero impact uncrewed vehicles is the Wave Glider by Liquid Robotics (6). This autonomous surface vehicle is used for ocean conservation and is powered by a combination of solar and wave energy, enabling it to conduct long-duration ocean monitoring missions with minimal environmental impact. Vehicles such as the wave glider can be designed with environmental monitoring sensors to detect various marine parameters.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1704889524163-drone2.png" style="width: 300px;" class="fr-fic fr-dib">Figure 1: Liquid Robotics’ Wave Glider UMV works using solar and tidal energy and can be equipped with sensors to collect marine data (6).Smart transportation systems integrate uncrewed vehicles with existing infrastructure, optimizing routes, reducing travel times, and minimizing energy consumption. They also facilitate renewable energy sources' integration into the charging infrastructure for electric uncrewed vehicles.<h2 dir="ltr">Disaster Response and Recovery</h2>Uncrewed vehicles are increasingly being utilized in disaster response and recovery operations, providing valuable support to emergency responders and relief agencies. Drones can quickly survey disaster-affected areas, providing high-resolution imagery and data to help assess damage, locate survivors, and plan rescue operations. This rapid assessment capability can save lives by enabling first responders to prioritize their efforts and allocate resources more efficiently.A real-life example of uncrewed vehicles in disaster response and recovery is the use of drones by humanitarian organizations such as the Red Cross. In the aftermath of natural disasters, drones have been deployed to assess damage, deliver aid, and support search and rescue operations. For instance, during the 2015 Nepal earthquake, drones were used to provide aerial imagery of the affected areas, helping to guide relief efforts and assess the extent of the damage (7).<h2 dir="ltr">Cloud Ground Control: Making drone fleet management more accessible&nbsp;</h2>As we have explored in this article, uncrewed vehicles are playing a pivotal role in the global effort to combat climate change. From monitoring forests and oceans to aiding in disaster relief, these autonomous technologies are proving to be invaluable assets in reducing greenhouse gas emissions and preserving our natural environment. Their diverse applications in various sectors showcase the potential for significant, positive environmental impacts.Traditionally, high-quality drone technology was the preserve of well-funded corporations or government entities. However, the software package, <a href="https://www.cloudgroundcontrol.com/" target="_blank">Cloud Ground Control</a>, serves as a catalyst in democratizing drone technology. The product lowers the barrier to entry of drone fleet management, allowing smaller organizations, local governments, and even community groups to deploy drone fleets for various purposes. This accessibility means that more players can contribute to climate change mitigation efforts, bringing diverse perspectives and solutions.CGC enables pilots and mission commanders to configure, monitor, and manage multiple autonomous drones and robots securely. These fleets can be used in the applications mentioned above to tackle climate change.In conclusion, uncrewed vehicles are not just futuristic concepts; they are current, active participants in the fight against climate change. As technology advances and their applications expand, these vehicles will continue to be integral in shaping a sustainable future, demonstrating the power of innovation in addressing some of the most pressing environmental challenges of our time.<h3 dir="ltr">References</h3>1. &nbsp; &nbsp;Brogan C. Drones that patrol forests could monitor environmental and ecological changes | Imperial News | Imperial College London [Internet]. Imperial News. 2020 [cited 2023 May 14]. Available from: https://www.imperial.ac.uk/news/207653/drones-that-patrol-forests-could-monitor/2. &nbsp; &nbsp;Lane K. Unmanned crop monitoring helps small farmers in Costa Rica [Internet]. Springwise. 2022 [cited 2023 May 14]. Available from: https://www.springwise.com/innovation/agriculture-energy/drones-help-small-farmers/3. &nbsp; &nbsp;Dendra Systems. Dendra | Restoration Ecology &amp; Ecosystem Services and Management [Internet]. Dendra Systems. [cited 2023 May 14]. Available from: https://dendra.io/4. &nbsp; &nbsp;IEA. Transport – Analysis [Internet]. Paris; 2022 [cited 2023 May 14]. Available from: https://www.iea.org/reports/transport5. &nbsp; &nbsp;Yara Birkeland | Yara International [Internet]. Yara None. 2021 [cited 2023 May 14]. Available from: https://www.yara.com/news-and-media/media-library/press-kits/yara-birkeland-press-kit/6. &nbsp; &nbsp;The Wave Glider | How It Works [Internet]. Liquid Robotics. [cited 2023 May 14]. Available from: https://www.liquid-robotics.com/wave-glider/how-it-works/7. &nbsp; &nbsp;Armed with drones, aid workers seek faster response to earthquakes, floods. Reuters [Internet]. 2016 May 16 [cited 2023 May 14]; Available from: https://www.reuters.com/article/us-humanitarian-summit-nepal-drones-idUSKCN0Y7003

A look at uncrewed vehicles' role in reducing greenhouse gas emissions with examples for forestry, ocean monitoring, and disaster relief. 

How Uncrewed Vehicles are Assisting in Combating Climate Change

For drones to save lives in search and rescue missions, or even reliably deliver our packages, they need to navigate dynamic environments without accident. Unmanned aerial vehicles (UAVs) have had success steering through open spaces time and time again, but the unpredictability of moving obstacles has been a challenge, especially in indoor environments with no GPS signals. <a href="https://engineering.cmu.edu/directory/bios/shimada-kenji.html" target="_blank">Kenji Shimada</a> and his students leaned into this problem to develop new technology that enables autonomous flights in indoor dynamic environments.The novel technologies, drone navigation and obstacle avoidance, and dynamic obstacle tracking and mapping, were put to the test last winter. Shimada’s drones were tasked with navigating an active Japanese tunnel construction site while avoiding collisions with moving human workers as part of a project sponsored by industry partners, Toprise Co., Ltd. and Obayashi Corporation.“Companies have recognized that young people don’t want to do dangerous, physical work anymore, so they are investing in robotics to fill the gap,” explained Shimada, a professor of <a href="https://www.meche.engineering.cmu.edu/index.html" rel="noopener" target="_blank">mechanical engineering</a>.<iframe width="640" height="360" src="https://www.youtube.com/embed/9LMKzsmAAqA?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true">&nbsp;&nbsp;&nbsp;</iframe>Shimada’s drones were able to measure the 3D geometry of the excavation front of the tunnel. This information, when compared to design data, tells builders what parts of the tunnel are complete and what parts need to be scaled further, without putting people at risk.“To our knowledge, this is the first time 3D scanning with an autonomous drone has been done in dynamic, under-construction tunnel environments,” said Zhefan Xu, the lead Ph.D. student of the drone project.In order to predict the path of moving objects, like people at work in the tunnel, the team introduced the first real-time system that uses a 3D hybrid map to account for the static environment while simultaneously tracking dynamic obstacles. With this technology, the team refined their previous algorithm to account for the real-time planning required by in-motion drones to prevent collisions. The combination system allows the drones to approximate where a collision may occur and prevent it.<blockquote>I think that this technology will have a large impact on improving the safety of workers on construction sites.<cite>Kenji Shimada<cite id="isPasted">Professor<cite>, Mechanical Engineering</cite></cite> </cite></blockquote>“The idea for this project stemmed from a scene in a sci-fi movie where a robot flew around inspecting an underground structure. After a decade of research on drones and three years on this project, I’m excited that we’ve made it a reality. I think that this technology will have a large impact on improving the safety of workers on construction sites,” said Shimada. This research was presented at the 2023 International Conference on Robotics and Automation (ICRA) organized by the Institute of Electrical and Electronics Engineers (IEEE).

Novel drone navigation technology developed by Kenji Shimada was put to the test in an active Japanese tunnel construction site, enabling drones to approximate where a collision may occur and prevent it.

unmanned aerial vehicles (UAVs)

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