Learning from human's strategies of motor control: a challenge for robotic systems design

Abstract

In areas such as tele-operation or assistance to humans with disabilities, it is of prime importance to design robots and machines which are consistent with human behavior. In this context, it is believed that the analysis of how humans perform trajectory formation, inverse kinematics and dynamics problems, in daily human motion, will be helpful in designing such complex systems. In this paper, we describe the different ways of solving ill-posed problems in motor control and concentrate on the feedforward aspects of motor control, the transfer of information from sensory to motor stages and the generation of motor command.