Evolutionary Robotics: First European Workshop, EvoRobot 98, Paris, France, April 16-17, 1998, Proceedings: Lecture Notes in Computer Science, cartea 1468
Editat de Philip Husbands, Jean-Arcady Meyeren Limba Engleză Paperback – 12 aug 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.
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Specificații
ISBN-13: 9783540649571
ISBN-10: 3540649573
Pagini: 264
Ilustrații: VIII, 252 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.37 kg
Ediția:1998
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540649573
Pagini: 264
Ilustrații: VIII, 252 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.37 kg
Ediția:1998
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.