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.
(0:57) - Robots Finding Buried Objects🤖🔑
(16:50) - Fake Data To Train Robots🤖🧠
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.
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