Motion learning by robot apprentices : a fuzzy neural approach

Abstract

Futuristic scenarios feature anthropomorphic robots cooperating with humans in daily activities. Efficient cooperation requires new techniques for facilitating man-robot skill transfer. Instead of programming, it is far easier for a human to demonstrate the task, showing the robot the movements it needs to perform. This thesis presents an approach on how robots can learn the visuo-motor coordination of their arms and how they can imitate human arm movements, in order to acquire motor skills from human instructors.