Teleoperation of robotic hand

Muscular activity contains information on motion intention. By decoding the muscular activity of an arm during reachig-to-grasp motions, Billard Lab were able to detect grasp type in the early stages of a reaching motion which enables fast activation of a robotic hand by teleoperation.

I. Batzianoulis, S. El Khoury, E. Pirondini, M. Coscia and S. Micera “EMG-based decoding of grasp gestures in reaching-to-grasping motions” in Robotics and Autonomous Systems, vol. 91, p. 59-70, 2017.