Frontiers in Evolutionary Robotics

Hitoshi Iba (Editor)978-3-902613-19-6

Table of contents :
Front Cover……Page 1
Title Page……Page 4
Copyright
……Page 5
Preface……Page 6
Table of Contents
……Page 8
1. A Comparative Evaluation of Methods for Evolving a Cooperative Team 001 byTakaya Arita and Yasuyuki Suzuki……Page 12
2. An Adaptive Penalty Method for Genetic Algorithms in Constrained Optimization Problems009 by Helio J. C. Barbosa and Afonso C. C. Lemonge……Page 20
3. Evolutionary-Based Control Approaches for Multirobot Systems 035 by Jekanthan Thangavelautham, Timothy D. Barfoot and Gabriele M.T. D’Eleuterio……Page 46
4. Learning by Experience and by Imitation in Multi-Robot Systems 061 by Dennis Barrios-Aranibar……Page 72
5. Cellular Non-linear Networks as a New Paradigm for Evolutionary Robotics 087 by Eleonora Bilotta and Pietro Pantano……Page 98
6. Optimal Design of Mechanisms for Robot Hands 109 by J.A. Cabrera……Page 120
7. Evolving Humanoids: Using Artificial Evolution as an Aid in the Design of Humanoid Robots 127 by Malachy Eaton……Page 138
8. Real-Time Evolutionary Algorithms for Constrained Predictive Control 139 by Mario Luca Fravolini……Page 150
9. Applying Real-Time Survivability Considerations in Evolutionary Behavior Learning by a Mobile Robot 185 by Wolfgang Freund……Page 196
10. An Evolutionary MAP Filter for Mobile Robot Global Localization 197 by L. Moreno……Page 208
11. Learning to Walk with Model Assisted Evolution Strategies 209 by Matthias Hebbel and Walter Nisticò……Page 220
12. Evolutionary Morphology for Polycube Robots 221 by Takahiro Tohge and Hitoshi Iba……Page 232
13. Mechanism of Emergent Symmetry Properties on Evolutionary Robotic System 233 by Naohide Yasuda……Page 244
14. A Quantitative Analysis of Memory Usage for Agent Tasks 247 by DaeEun Kim……Page 258
15. Evolutionary Parametric Identification of Dynamic Systems 275 by Dimitris Koulocheris and Vasilis Dertimanis……Page 286
16. Evolutionary Computation of Multi-robot/agent Systems 291 by Philippe Lucidarme……Page 302
17. Embodiment of Legged Robots Emerged in Evolutionary Design: Pseudo Passive Dynamic Walkers 311 by Kojiro Matsushita and Hiroshi Yokoi……Page 322
18. Action Selection and Obstacle Avoidance using Ultrasonic and Infrared Sensors 327 by Fernando Montes-González……Page 338
19. Multi-Legged Robot Control Using GA-Based Q-Learning Method With Neighboring Crossover 341 by Tadahiko Murata and Masatoshi Yamaguchi……Page 352
20. Evolved Navigation Control for Unmanned Aerial Vehicles 353 by Gregory J. Barlow and Choong K. Oh……Page 364
21. Application of Artificial Evolution to Obstacle Detection and Mobile Robot Control 379 by Olivier Pauplin and Arnaud de La Fortelle……Page 390
22. Hunting in an Environment Containing Obstacles: A Combinatory Study of Incremental Evolution and Co-evolutionary Approaches 393 by Ioannis Mermigkis and Loukas Petrou……Page 404
23. Evolving Behavior Coordination for Mobile Robots using Distributed Finite-State Automata 413 by Pavel Petrovic……Page 424
24. An Embedded Evolutionary Controller to Navigate a Population of Autonomous Robots 439 by Eduardo do Valle Simões……Page 450
25. Optimization of a 2 DOF Micro Parallel Robot Using Genetic Algorithms 465 by Sergiu-Dan Stan……Page 476
26. Progressive Design through Staged Evolution 491 by Ricardo A. Téllez and Cecilio Angulo……Page 502
27. Emotional Intervention on Stigmergy Based Foraging Behaviour of Immune Network Driven Mobile Robots 517 by Diana Tsankova……Page 528
28. Evolutionary Distributed Control of a Biologically Inspired Modular Robot 543 by Sunil Pranit Lal and Koji Yamada……Page 554
29. Evolutionary Motion Design for Humanoid Robots 567 by Toshihiko Yanase and Hitoshi Iba……Page 578