Senses, Skills, Reactions and Reflexes: Learning Automatic Behaviors in Multi-Sensory Robotic Systems

Abstract

Biological systems organization and behavioral strategies allow for the rapid learning of the control of complex tasks. These approaches include the acquisition of skilled behavior through practice and the use of attention. Simulations that emulate these approaches are presented in which the generation of trajectories and the control of motion become automatic during the repeated performance of a task. During this process, shifts in sensory input from vision to proprioception are used for improved task execution and calibration