From Motor Learning to Interaction Learning in Robots

✍ Scribed by Olivier Sigaud, Jan Peters (auth.), Olivier Sigaud, Jan Peters (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2010
• Tongue: English
• Leaves: 531
• Series: Studies in Computational Intelligence 264
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages -
From Motor Learning to Interaction Learning in Robots....Pages 1-12
Front Matter....Pages 13-13
Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior....Pages 15-41
Proprioception and Imitation: On the Road to Agent Individuation....Pages 43-63
Adaptive Optimal Feedback Control with Learned Internal Dynamics Models....Pages 65-84
The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics....Pages 85-106
Intrinsically Motivated Exploration for Developmental and Active Sensorimotor Learning....Pages 107-146
Front Matter....Pages 147-147
Learning to Exploit Proximal Force Sensing: A Comparison Approach....Pages 149-167
Learning Forward Models for the Operational Space Control of Redundant Robots....Pages 169-192
Real-Time Local GP Model Learning....Pages 193-207
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling....Pages 209-225
A Bayesian View on Motor Control and Planning....Pages 227-252
Methods for Learning Control Policies from Variable-Constraint Demonstrations....Pages 253-291
Motor Learning at Intermediate Reynolds Number: Experiments with Policy Gradient on the Flapping Flight of a Rigid Wing....Pages 293-309
Front Matter....Pages 311-311
Abstraction Levels for Robotic Imitation: Overview and Computational Approaches....Pages 313-355
Learning to Imitate Human Actions through Eigenposes....Pages 357-381
Incremental Learning of Full Body Motion Primitives....Pages 383-406
Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration?....Pages 407-430
Mobile Robot Motion Control from Demonstration and Corrective Feedback....Pages 431-450
Learning Continuous Grasp Affordances by Sensorimotor Exploration....Pages 451-465
Multimodal Language Acquisition Based on Motor Learning and Interaction....Pages 467-489
Front Matter....Pages 311-311
Human-Robot Cooperation Based on Interaction Learning....Pages 491-536
Back Matter....Pages -

✦ Subjects

Computational Intelligence; Robotics and Automation; Artificial Intelligence (incl. Robotics)