Mobile robots : the evolutionary approach
Author(s)
Bibliographic Information
Mobile robots : the evolutionary approach
(Studies in computational intelligence, v. 50)
Springer, c2007
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and indexes
Description and Table of Contents
Description
Researchers have obtained robots that display an amazing slew of behaviors and perform a multitude of tasks, including perception of environment, negotiating rough terrain, and pushing boxes. This volume offers a wide spectrum of sample works developed in leading research throughout the world about evolutionary mobile robotics and demonstrates the success of the technique in evolving efficient and capable mobile robots.
Table of Contents
Evolutionary Mobile Robots.- Differential Evolution Approach Using Chaotic Sequences Applied to Planning of Mobile Robot in a Static Environment with Obstacles.- Evolving Modular Robots for Rough Terrain Exploration.- Evolutionary Navigation of Autonomous Robots Under Varying Terrain Conditions.- Aggregate Selection in Evolutionary Robotics.- Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots.- Learning Mobile Robots.- Reinforcement Learning for Autonomous Robotic Fish.- Module-based Autonomous Learning for Mobile Robots.- A Hybrid Adaptive Architecture for Mobile Robots Based on Reactive Behaviours.- Collaborative Robots for Infrastructure Security Applications.- Imitation Learning: An Application in a Micro Robot Soccer Game.
by "Nielsen BookData"