Building elementary robot skills from human demonstration

Abstract

This paper presents a general approach to the acquisition of sensor-based robot skills from human demonstrations. Since human-generated examples cannot be assumed to be optimal with respect to the robot, adaptation of the initially acquired skill is explicitly considered. Results for acquiring and refining manipulation skills for a Puma 260 manipulator are given.