Click For Photo: https://techcrunch.com/wp-content/uploads/2019/01/MIT-Jenga-Robot-PRESS.jpg?w=600
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...
Wake Up To Breaking News!
Homeschool or State Thought Police School, you choose.