2016
Touch-based admittance control of a robotic arm using neural learning of an artificial skin
IROS 2016poster
Touch perception is an important sense to model in humanoid robots to interact physically and socially with humans. We present a neural controller that can adapt the compliance of the robot arm in four directions using as input the tactile information from an artificial skin and as output the estima…