From Motor Learning to Interaction Learning in Robots [Paperback]

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 Conference on Intelligent Robot Systems. The major aim of the book is to give students interested the topics described above a chance to get started faster and researchers a helpful compandium.

This book is largely based on the successful workshop From motor to interaction learning in robots held at the IEEE/RSJ International Conference on Intelligent Robot Systems. It presents recent research in motor learning and interaction learning in robots.

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 Conference on Intelligent Robot Systems. The major aim of the book is to give students interested the topics described above a chance to get started faster and researchers a helpful compandium.

From Motor Learning to Interaction Learning in Robots.- From Motor Learning to Interaction Learning in Robots.- I: Biologically Inspired Models for Motor Learning.- Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior.- Proprioception and Imitation: On the Road to Agent Individuation.- Adaptive Optimal Feedback Control with Learned Internal Dynamics Models.- The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics.- Intrinsically Motivated Exploration for Developmental and Active Sensorimotor Learning.- II: Learning Policies for Motor Control.- Learning to Exploit Proxlóâ