Escape, avoidance, and imitation: a neural network approach

We have recently shown that a neural network model of classical and operant conditioning can be trained to control the movements of a wheeled mobile robot. The neural network learns to avoid obstacles as the robot moves around without supervision in a ...

This early-stage research work aims to improve online human-robot imitation by translating sequences of joint positions from the domain of human motions to a domain of motions achievable by a given robot, thus constrained by its embodiment. Leveraging ...

This article presents the framework of a novel approach for real time imitation of the human arm movements by an industrial robot. The approach presented in this work, integrates the kinematics of the human arm structure with the human arm motion ...