Closing the loop: Evolving a model-free visually guided robot arm

Abstract

Dynamic neuro-controllers are incrementally evolved for reaching and tracking movements by a physically simulated robot arm. An active vision system capable of controlling gaze direction and focus replaces the need for internal models of the robot. It is shown that closing the feedback loop allows for robot control being robust to changes in environment, sensors and robot-morphology.