MIT researchers are training a robot arm to play Jenga

TechCrunch | 1/30/2019 | Staff
normanorma (Posted by) Level 4
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Turns out training a robotic arm to play Jenga is a surprisingly complex task. There are, so to speak, a lot of moving parts. Researchers at MIT are putting a modified ABB IRB 120 to work with the familiar tabletop game, utilizing a soft gripper, force-sensing wrist joint and external camera to design a bot that can remove a block without toppling the tower.

The robot was trained with 300 attempts, rather than the thousands it would traditionally take, learning to cluster different attempts into groups as a kind of short hand similar to how human teach themselves. With each attempt, the robot pushing against the block, testing for tactile feedback to determine whether it’s a safe bet.

Tasks - Games - Chess - Go - Game

“Unlike in more purely cognitive tasks or games such as chess or Go, playing the game of...
(Excerpt) Read more at: TechCrunch
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