Springer Robot Intelligence: An Advanced Knowledge Processing Approach (Advanced Information and Knowledge Processing)

Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advanced knowledge processing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context. Review From the reviews: “This book’s 13 chapters are a unique collection of research in which machine learning extends into robotic intelligence in order to develop robots that are more complex and adaptable to their dynamic environments. … There is something here for everyone great ideas, sufficient theoretical backups, and excellent case studies with real robots in action. Summing Up: Highly recommended. Upper-division undergraduates and above.” (G. Trajkovski, Choice, Vol. 48 (7), March, 2011) “This book was a welcome surprise: it is short, but includes many topics relevant to the robotics research community. … Another interesting aspect of the book is that almost every chapter includes physical experiments. … Researchers and PhD students interested in the latest approaches and techniques in robotics will be most interested in this book. It is especially appropriate for researchers interested in the fields of manipulator robots and social robots (robots that interact with human beings).” (Ramon Gonzalez Sanchez, ACM Computing Reviews, January, 2012) From the Back Cover Robot Intelligence is an exciting interdisciplinary field including engineering, information technology, machine learning, biological science and psychology. Its dramatic growth in practical applications is driven by both real-world requirements and maturity of related disciplines such as intelligent algorithms. It is expected that perception, understanding and reasoning capabilities play a crucial role in robot-assisted tasks and enable robots to exhibit similar performance on executing various tasks in both constrained and unconstrained environments. Robot Intelligence is a rare collection of chapters reflecting recent robotics developments from the advanced knowledge processing perspective. It also provides a comprehensive introduction and methodology to selected robotics topics including human robot interaction, human motion analysis, robot vision and advanced control. The robot intelligence methods presented enable readers to address many complex problems involving a wide range of robot sensors for the perception and understanding of the environment and the reasoning of the subsequent actions. The book’s comprehensive coverage will prove invaluable to senior undergraduates, PhD students, researchers and practitioners. About the Author Dr. Honghai Liu is a Reader and Head of Intelligent Systems & Robotics Research Group (ISR), School of Creative Technologies, at the University of Portsmouth. He previously held research appointments at the Departments of Computing Science and Engineering in the Universities of London and Aberdeen, and project leader appointments in large-scale industrial control and system integration industry. Honghai has published over 150 refereed journal and conference papers including three Best Paper Awards. He is interested in approximate computation, machine intelligence, pattern recognition and their practical applications with an emphasis on approaches which could make contribution to the intelligent connection of perception to action in systems context. For this emphasis, he has been developing a framework based on approximate computing and it has been implemented into human motion analysis, multifingered robot manipulation, data novelty detection and intelli