Mobile robots : the evolutionary approach
Author(s)
Bibliographic Information
Mobile robots : the evolutionary approach
（Studies in computational intelligence, v. 50）
Springer, c2007
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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"