Abstract
This book concentrates on the application of soft computing - evolutionary algorithms, neural networks, and fuzzy logic - for intelligent sensing, learning, and robot navigation. It consists of nine chapters which cover such topics as: evolvable hardware in robots; autonomous robot navigation systems; intelligent sensor fusion and learning; task-oriented developmental learning; bipedal walking through reinforcement learning; and swing time generation for bipedal walking. The book is well written, readable, and is concise yet comprehensive. It is more suited as a convenient reference book for researchers and practicing professionals, rather than a classroom textbook. If worked examples and end-of-chapter problems were added, the book would easily serve as a text for a graduate course on Intelligent Walking Robots.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
