Soldiers could teach future robots how to outperform humans
In the future, a Soldier and a game controller may be all that's needed to teach robots how to outdrive humans.
At the U.S. Army Combat Capabilities Development Command's Army Research Laboratory and the University of Texas at Austin, researchers designed an algorithm that allows an autonomous ground vehicle to improve its existing navigation systems by watching a human drive. The team tested its approach -- called adaptive planner parameter learning from demonstration, or APPLD -- on one of the Army's experimental autonomous ground vehicles.
https://www.sciencedaily.com/releases/2020/08/200812144008.htm
#US #Army #Military #Robot
In the future, a Soldier and a game controller may be all that's needed to teach robots how to outdrive humans.
At the U.S. Army Combat Capabilities Development Command's Army Research Laboratory and the University of Texas at Austin, researchers designed an algorithm that allows an autonomous ground vehicle to improve its existing navigation systems by watching a human drive. The team tested its approach -- called adaptive planner parameter learning from demonstration, or APPLD -- on one of the Army's experimental autonomous ground vehicles.
https://www.sciencedaily.com/releases/2020/08/200812144008.htm
#US #Army #Military #Robot
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