Evolutionary Robotics
First European Workshop, EvoRobot 98, Paris, France, April 16-17, 1998, Proceedings
Published on 12. August 1998
Book
Paperback/Softback
VIII, 252 pages
978-3-540-64957-1 (ISBN)
Description
This book constitutes the thorougly refereed and revised post-workshop proceedings of the First European Workshop on Evolutionary Robotics, EvoRobot '98, held in Paris, France in April 1998.
The 15 revised full papers presented outline the state of the art in this new interdisciplinary area of research and development. The introductory paper gives a survey of the use of evolutionary computing techniques for the automatic design of adaptive robots.
The 15 revised full papers presented outline the state of the art in this new interdisciplinary area of research and development. The introductory paper gives a survey of the use of evolutionary computing techniques for the automatic design of adaptive robots.
More details
Series
Edition
1998 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
VIII, 252 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
406 gr
ISBN-13
978-3-540-64957-1 (9783540649571)
DOI
10.1007/3-540-64957-3
Schweitzer Classification
Content
Evolutionary robotics: A survey of applications and problems.- How co-evolution can enhance the adaptive power of artificial evolution: Implications for evolutionary robotics.- Running across the reality gap: Octopod locomotion evolved in a minimal simulation.- Detour behavior in evolving robots: Are internal representations necessary?.- Evolving robot behaviours with diffusing gas networks.- Explaining the evolved: Homunculi, modules, and internal representation.- Some problems (and a few solutions) for open-ended evolutionary robotics.- Noise and the pursuit of complexity: A study in evolutionary robotics.- Hardware solutions for evolutionary robotics.- Blurred vision: Simulation-reality transfer of a visually guided robot.- Learning to move a robot with random morphology.- Learning behaviors for environmental modeling by genetic algorithm.- Evolving and breeding robots.- Off-line model-free and on-line model-based evolution for tracking navigation using evolvable hardware.- Incremental evolution of neural controllers for robust obstacle-avoidance in Khepera.