From Motor Learning to Interaction Learning in Robots

• Corporate Author: SpringerLink (Online service)
• Other Authors: Sigaud, Olivier. (Editor), Peters, Jan. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Studies in Computational Intelligence, 264
• Subjects: Engineering.; Artificial intelligence.; Computational Intelligence.; Robotics and Automation.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-05181-4

From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop From motor to interaction learning in robots held at the IEEE/RSJ International...

Table of Contents:

• Part I Biologically inspired Models for Motor Learning
• Part II Learning Policies for Motor Control
• Part III Imitation and Interaction Learning.