With the increasing applications of intelligent robotic systems in various fields, the design and control of these systems have increasingly attracted interest from researchers. This edited book entitled “Design and Control of Intelligent Robotic Systems” in the book series of “Studies in Computational Intelligence” is a collection of some advanced research on design and control of intelligent robots. The works presented range in scope from design methodologies to robot development. Various design approaches and algorithms, such as evolutionary computation, neural networks, fuzzy logic, learning, etc. are included and most studies reported in this book have been implemented in physical systems. The intended readers of this edited book are engineers, researchers, senior undergraduates, and graduate students who are interested in the field of design and control of intelligent robotic systems.
Author(s): M. Begum, F. Karray (auth.), Dikai Liu, Lingfeng Wang, Kay Chen Tan (eds.)
Series: Studies in Computational Intelligence 177
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Language: English
Pages: 478
Tags: Control , Robotics, Mechatronics; Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)
Front Matter....Pages -
Computational Intelligence Techniques in Bio-inspired Robotics....Pages 1-28
Swarm Intelligence for Collective Robotic Search....Pages 29-47
A Glowworm Swarm Optimization Based Multi-robot System for Signal Source Localization....Pages 49-68
Evolutionary Robotics: From Simulation-Based Behavior Learning to Direct Teaching in Real Environments....Pages 69-96
Ranked Pareto Particle Swarm Optimization for Mobile Robot Motion Planning....Pages 97-118
Path Planning Inspired on Emotional Intelligence....Pages 119-132
An Exploration of Online Parallel Learning in Heterogeneous Multi-robot Swarms....Pages 133-151
Robot Control in Dynamic Environments Using Memory-Based Learning....Pages 153-170
A Behavior Based Control and Learning Approach to Real Robots....Pages 171-186
Incremental Acquisition of Neural Structures through Evolution....Pages 187-208
Evolutionary Terrain-Based Navigation of Autonomous Mobile Robots....Pages 209-226
A Novel Intelligent Control Approach for Precise Tracking of Autonomous Robots....Pages 227-254
Punctuated Anytime Learning to Evolve Robot Control for Area Coverage....Pages 255-277
Local Methods for Supporting Grounded Communication in Robot Teams....Pages 279-301
Vision SLAM Maps: Towards Richer Content....Pages 303-329
Learning of Hierarchical Perception-Action Cycles....Pages 331-353
Advancing Artificial Intelligence through Minimalist Humanoid Robotics....Pages 355-376
Design, Modeling and Control of an Ankle Rehabilitation Robot....Pages 377-399
Markovito: A Flexible and General Service Robot....Pages 401-423
Task Based Hybrid Closure Grasping Optimization for Autonomous Robot Hand....Pages 425-451
Triangular Targeting Algorithm (TTA) for Accurate Motion Control of Fast Mobile Robots....Pages 453-476
Back Matter....Pages -
