New Horizons in Evolutionary Robotics

1. Front Matter

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2. Introduction

   1. Front Matter

      Pages 1-1

      PDF

   2. Evolutionary Robotics: Exploring New Horizons

      • Stéphane Doncieux, Jean-Baptiste Mouret, Nicolas Bredeche, Vincent Padois

      Pages 3-25

3. Invited Position Papers

   1. Front Matter

      Pages 27-27

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   2. The ‘What’, ‘How’ and the ‘Why’ of Evolutionary Robotics

      • Josh Bongard

      Pages 29-35

   3. Why Evolutionary Robotics Will Matter

      • Kenneth O. Stanley

      Pages 37-41

   4. Evolutionary Algorithms in the Design of Complex Robotic Systems

      • Philippe Bidaud

      Pages 43-52

4. Regular Contributions

   1. Front Matter

      Pages 53-53

      PDF

   2. Evolving Monolithic Robot Controllers through Incremental Shaping

      • Joshua E. Auerbach, Josh C. Bongard

      Pages 55-65

   3. Evolutionary Algorithms to Analyse and Design a Controller for a Flapping Wings Aircraft

      • Stéphane Doncieux, Mohamed Hamdaoui

      Pages 67-83

   4. On Applying Neuroevolutionary Methods to Complex Robotic Tasks

      • Yohannes Kassahun, Jose de Gea, Jakob Schwendner, Frank Kirchner

      Pages 85-108

   5. Evolutionary Design of a Robotic Manipulator for a Highly Constrained Environment

      • S. Rubrecht, E. Singla, V. Padois, P. Bidaud, M. de Broissia

      Pages 109-121

   6. A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems

      • Yan Meng, Hongliang Guo, Yaochu Jin

      Pages 123-137

   7. Novelty-Based Multiobjectivization

      • Jean-Baptiste Mouret

      Pages 139-154

   8. Embedded Evolutionary Robotics: The (1+1)-Restart-Online Adaptation Algorithm

      • Jean-Marc Montanier, Nicolas Bredeche

      Pages 155-169

   9. Automated Planning Logic Synthesis for Autonomous Unmanned Vehicles in Competitive Environments with Deceptive Adversaries

      • Petr Svec, Satyandra K. Gupta

      Pages 171-193

   10. Major Feedback Loops Supporting Artificial Evolution in Multi-modular Robotics

       • Thomas Schmickl, Jürgen Stradner, Heiko Hamann, Lutz Winkler, Karl Crailsheim

       Pages 195-209

   11. Evolutionary Design and Assembly Planning for Stochastic Modular Robots

       • Michael T. Tolley, Jonathan D. Hiller, Hod Lipson

       Pages 211-225

Evolutionary Algorithms (EAs) now provide mature optimization tools that have successfully been applied to many problems, from designing antennas to complete robots, and provided many human-competitive results. In robotics, the integration of EAs within the engineer’s toolbox made tremendous progress in the last 20 years and proposes new methods to address challenging problems in various setups: modular robotics,  swarm robotics, robotics with non-conventional mechanics (e.g. high redundancy, dynamic motion, multi-modality), etc.

This book takes its roots in the workshop on "New Horizons in Evolutionary Design of Robots" that brought together researchers from Computer Science and Robotics during the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2009) in Saint Louis (USA). This book features extended contributions from the workshop, thus providing various examples of current problems and applications, with a special emphasis on the link between Computer Science and Robotics. It also provides a comprehensive and up-to-date introduction to Evolutionary Robotics after 20 years of maturation as well as thoughts and considerations from several major actors in the field.

This book offers a comprehensive introduction to the current trends and challenges in Evolutionary Robotics for the next decade.

• Computational Intelligence
• Evolutionary Robotics
• Robot Design
• Robotics

• CNRS UMR 7222, ISIR - Pierre and Marie Curie University, Paris, France

  Stéphane Doncieux

• Université Paris-Sud, TAO - Univ. Paris-Sud, INRIASaclay, CNRS, Orsay, France

  Nicolas Bredèche

• CNRS UMR 7222, ISIR - Pierre andMarie Curie University, Paris, France

  Jean-Baptiste Mouret

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