Podcast: Teaching Robots To Find Buried Objects
In this episode, we talk about how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
19 Jul, 2022.
Peter Mitrano demonstrates a rope manipulation experiment. Software that he and Berenson developed can expand training data sets for challenges like rope manipulation, doubling the success rate of the robot. Credit: Daryl Marshke, Michigan Creative, University of Michigan.
In this episode, we talk about how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
This podcast is sponsored by Mouser Electronics.
EPISODE NOTES
(0:57) - Robots Finding Buried Objects🤖🔑
(16:50) - Fake Data To Train Robots🤖đź§
About the podcast:
Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell & Farbod Moghaddam who discuss the most interesting content in this podcast series.
To learn more about this show, please visit the shows page. By following the page, you will get automatic updates by email when a new show is published.
Be sure to give us a follow and review on Apple podcasts, Spotify, and most of your favorite podcast platforms!
Take a few seconds to leave us a review. It really helps! https://apple.co/2RIsbZ2 if you do it and send us proof, we’ll give you a shoutout on the show.
The Next Byte Newsletter
Fuel your tech-savvy curiosity with “byte” sized digests of tech breakthroughs.