Open access peer-reviewed Edited Volume

Frontiers in Evolutionary Robotics

Edited by Hitoshi Iba

University of Tokyo, Japan

This book presented techniques and experimental results which have been pursued for the purpose of evolutionary robotics. Evolutionary robotics is a new method for the automatic creation of autonomous robots. When executing tasks by autonomous robots, we can make the robot learn what to do so as to complete the task from interactions with its environment, but not manually pre-program for all situations. Many researchers have been studying the techniques for evolutionary robotics by using Evolutionary Computation (EC), such as Genetic Algorithms (GA) or Genetic Programming (GP). Their goal is to clarify the applicability of the evolutionary approach to the real-robot learning, especially, in view of the adaptive robot behavior as well as the robustness to noisy and dynamic environments. For this purpose, authors in this book explain a variety of real robots in different fields. For instance, in a multi-robot system, several robots simultaneously work to achieve a common goal via interaction; their behaviors can only emerge as a result of evolution and interaction. How to learn such behaviors is a central issue of Distributed Artificial Intelligence (DAI), which has recently attracted much attention. This book addresses the issue in the context of a multi-robot system, in which multiple robots are evolved using EC to solve a cooperative task. Since directly using EC to generate a program of complex behaviors is often very difficult, a number of extensions to basic EC are proposed in this book so as to solve these control problems of the robot.

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Frontiers in Evolutionary RoboticsEdited by Hitoshi Iba

Published: April 1st 2008

DOI: 10.5772/62

ISBN: 978-3-902613-19-6

eBook (PDF) ISBN: 978-953-51-5829-5

Copyright year: 2008

Books open for chapter submissions

66012 Total Chapter Downloads

18 Crossref Citations

51 Web of Science Citations

73 Dimensions Citations


Open access peer-reviewed

1. A Comparative Evaluation of Methods for Evolving a Cooperative Team

By Takaya Arita and Yasuyuki Suzuki


Open access peer-reviewed

2. An Adaptive Penalty Method for Genetic Algorithms in Constrained Optimization Problems

By Helio J. C. Barbosa and Afonso C. C. Lemonge


Open access peer-reviewed

3. Evolutionary-Based Control Approaches for Multirobot Systems

By Jekanthan Thangavelautham, Timothy D. Barfoot and Gabriele M.T. D'Eleuterio


Open access peer-reviewed

4. Learning by Experience and by Imitation in Multi-Robot Systems

By Dennis Barrios-Aranibar, Luiz M. G. Goncalves and Pablo Javier Alsina


Open access peer-reviewed

5. Cellular Non-Linear Networks as a New Paradigm for Evolutionary Robotics

By Eleonora Bilotta and Pietro Pantano


Open access peer-reviewed

6. Optimal Design of Mechanisms for Robot Hands

By J.A. Cabrera, F. Nadal and A. Simon


Open access peer-reviewed

7. Evolving Humanoids: Using Artificial Evolution as an Aid in the Design of Humanoid Robots

By Malachy Eaton


Open access peer-reviewed

8. Real-Time Evolutionary Algorithms for Constrained Predictive Control

By Mario Luca Fravolini, Antonio Ficola and Michele La Cava


Open access peer-reviewed

9. Applying Real-Time Survivability Considerations in Evolutionary Behavior Learning by a Mobile Robot

By Wolfgang Freund, Tomas Arredondo V. and Cesar Munoz


Open access peer-reviewed

10. An Evolutionary MAP Filter for Mobile Robot Global Localization

By L. Moreno, S. Garrido, M. L. Munoz and D. Blanco


Open access peer-reviewed

11. Learning to Walk with Model Assisted Evolution Strategies

By Matthias Hebbel and Walter Nistico


Open access peer-reviewed

12. Evolutionary Morphology for Polycube Robots

By Takahiro Tohge and Hitoshi Iba


Open access peer-reviewed

13. Mechanism of Emergent Symmetry Properties on Evolutionary Robotic System

By Naohide Yasuda, Takuma Kawakami, Hiroaki Iwano, Katsuya Kanai, Koki Kikuchi and Xueshan Gao


Open access peer-reviewed

14. A Quantitative Analysis of Memory Usage for Agent Tasks

By DaeEun Kim


Open access peer-reviewed

15. Evolutionary Parametric Identification of Dynamic Systems

By Dimitris Koulocheris and Vasilis Dertimanis


Open access peer-reviewed

16. Evolutionary Computation of Multi-Robot/Agent Systems

By Philippe Lucidarme


Open access peer-reviewed

17. Embodiment of Legged Robots Emerged in Evolutionary Design: Pseudo Passive Dynamic Walkers

By Kojiro Matsushita and Hiroshi Yokoi


Open access peer-reviewed

18. Action Selection and Obstacle Avoidance Using Ultrasonic and Infrared Sensors

By Fernando Montes-Gonzalez, Daniel Flandes-Eusebio and Luis Pellegrin- Zazueta


Open access peer-reviewed

19. Multi-Legged Robot Control Using GA-Based Q-Learning Method With Neighboring Crossover

By Tadahiko Murata and Masatoshi Yamaguchi


Open access peer-reviewed

20. Evolved Navigation Control for Unmanned Aerial Vehicles

By Gregory J. Barlow and Choong K. Oh


Open access peer-reviewed

21. Application of Artificial Evolution to Obstacle Detection and Mobile Robot Control

By Olivier Pauplin and Arnaud de La Fortelle


Open access peer-reviewed

22. Hunting in an Environment Containing Obstacles: A Combinatory Study of Incremental Evolution and Co-Evolutionary Approaches

By Ioannis Mermigkis and Loukas Petrou


Open access peer-reviewed

23. Evolving Behavior Coordination for Mobile Robots Using Distributed Finite-State Automata

By Pavel Petrovic


Open access peer-reviewed

24. An Embedded Evolutionary Controller to Navigate a Population of Autonomous Robots

By Eduardo do Valle Simoes


Open access peer-reviewed

25. Optimization of a 2 DOF Micro Parallel Robot Using Genetic Algorithms

By Sergiu-Dan Stan, Vistrian Maties and Radu Balan


Open access peer-reviewed

26. Progressive Design through Staged Evolution

By Ricardo A. Tellez and Cecilio Angulo


Open access peer-reviewed

27. Emotional Intervention on Stigmergy Based Foraging Behaviour of Immune Network Driven Mobile Robots

By Diana Tsankova


Open access peer-reviewed

28. Evolutionary Distributed Control of a Biologically Inspired Modular Robot

By Sunil Pranit Lal and Koji Yamada


Open access peer-reviewed

29. Evolutionary Motion Design for Humanoid Robots

By Toshihiko Yanase and Hitoshi Iba


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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