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Friday, October 01, 2021

Removing Rubble with Robots

What robots can be taught to do.

 Faster Path Planning for Rubble-Roving Robots

University of Michigan News, August 13, 2021

A new algorithm designed by University of Michigan (U-M) scientists could enhance the performance of robots traversing treacherous terrain. The algorithm can accelerate path planning for robots that use arm-like appendages to maintain balance on rough ground like disaster areas or construction sites. U-M's Yu-Chi Lin said, "First, we used machine learning to train the robot on the different ways it can place its hands and feet to maintain balance and make progress. Then, when placed in a new, complex environment, the robot can use what it learned to determine how traversable a path is, allowing it to find a path to the goal much faster." In a virtual experiment, a humanoid robot using the new algorithm outperformed previous methods in negotiating a corridor of rubble..... 

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