Skip to main content
SpringerLink
Log in

From Motor Learning to Interaction Learning in Robots

  • Book
  • © 2010

Overview

Editors:
  1. Olivier Sigaud

    1. Institut des Systèmes Intelligents et de Robotique (CNRS UMR 7222), Université Pierre et Marie Curie Pyramide, PARIS cedex 05, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Jan Peters

    1. Dept. Schölkopf, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research in motor learning and interaction learning in robots

Part of the book series: Studies in Computational Intelligence (SCI, volume 264)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (21 chapters)

  1. Front Matter

    Download chapter PDF

  2. From Motor Learning to Interaction Learning in Robots

    1. From Motor Learning to Interaction Learning in Robots

      • Olivier Sigaud, Jan Peters
      Pages 1-12

  3. Part I: Biologically Inspired Models for Motor Learning

    1. Front Matter

      Pages 13-13
      Download chapter PDF

    2. Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior

      • Armin Duff, César Rennó-Costa, Encarni Marcos, Andre L. Luvizotto, Andrea Giovannucci, Marti Sanchez-Fibla et al.
      Pages 15-41

    3. Proprioception and Imitation: On the Road to Agent Individuation

      • M. Lagarde, P. Andry, P. Gaussier, S. Boucenna, L. Hafemeister
      Pages 43-63

    4. Adaptive Optimal Feedback Control with Learned Internal Dynamics Models

      • Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar
      Pages 65-84

    5. The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics

      • Oliver Herbort, Martin V. Butz, Gerulf Pedersen
      Pages 85-106

    6. Intrinsically Motivated Exploration for Developmental and Active Sensorimotor Learning

      • Pierre-Yves Oudeyer, Adrien Baranes, Frédéric Kaplan
      Pages 107-146

  4. Part II: Learning Policies for Motor Control

    1. Front Matter

      Pages 147-147
      Download chapter PDF

    2. Learning to Exploit Proximal Force Sensing: A Comparison Approach

      • Matteo Fumagalli, Arjan Gijsberts, Serena Ivaldi, Lorenzo Jamone, Giorgio Metta, Lorenzo Natale et al.
      Pages 149-167

    3. Learning Forward Models for the Operational Space Control of Redundant Robots

      • Camille Salaün, Vincent Padois, Olivier Sigaud
      Pages 169-192

    4. Real-Time Local GP Model Learning

      • Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
      Pages 193-207

    5. Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling

      • Jens Kober, Betty Mohler, Jan Peters
      Pages 209-225

    6. A Bayesian View on Motor Control and Planning

      • Marc Toussaint, Christian Goerick
      Pages 227-252

    7. Methods for Learning Control Policies from Variable-Constraint Demonstrations

      • Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar
      Pages 253-291

    8. Motor Learning at Intermediate Reynolds Number: Experiments with Policy Gradient on the Flapping Flight of a Rigid Wing

      • John W. Roberts, Lionel Moret, Jun Zhang, Russ Tedrake
      Pages 293-309

  5. Part III: Imitation and Interaction Learning

    1. Front Matter

      Pages 311-311
      Download chapter PDF

    2. Abstraction Levels for Robotic Imitation: Overview and Computational Approaches

      • Manuel Lopes, Francisco Melo, Luis Montesano, José Santos-Victor
      Pages 313-355

    3. Learning to Imitate Human Actions through Eigenposes

      • Rawichote Chalodhorn, Rajesh P. N. Rao
      Pages 357-381

    4. Incremental Learning of Full Body Motion Primitives

      • Dana Kulić, Yoshihiko Nakamura
      Pages 383-406
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • Institut des Systèmes Intelligents et de Robotique (CNRS UMR 7222), Université Pierre et Marie Curie Pyramide, PARIS cedex 05, France

    Olivier Sigaud

  • Dept. Schölkopf, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany

    Jan Peters

Bibliographic Information

  • Book Title: From Motor Learning to Interaction Learning in Robots

  • Editors: Olivier Sigaud, Jan Peters

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-05181-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-05180-7Published: 04 February 2010

  • Softcover ISBN: 978-3-642-26232-6Published: 04 May 2012

  • eBook ISBN: 978-3-642-05181-4Published: 30 December 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XI, 538

  • Topics: Computational Intelligence, Robotics and Automation, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation