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This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material. The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels. Sample Chapter(s). Chapter 1: Artificial Evolution Based Autonomous Robot Navigation (184 KB). Contents: Artificial Evolution Based Autonomous Robot Navigation; Evolvable Hardware in Evolutionary Robotics; FPGA-Based Autonomous Robot Navigation via Intrinsic Evolution; Intelligent Sensor Fusion and Learning for Autonomous Robot Navigation; Task-Oriented Developmental Learning for Humanoid Robots; Bipedal Walking Through Reinforcement Learning; Swing Time Generation for Bipedal Walking Control Using GA Tuned Fuzzy Logic Controller; Bipedal Walking: Stance Ankle Behavior Optimization Using Genetic Algorithm. Readership: Researchers in evolutionary robotics, and graduate and advanced undergraduate students in computational intelligence.
RoboCup is an international initiative devoted to advancing the state of the art in artificial intelligence and robotics. The aims of the project and potential research directions are numerous. The ultimate, long-range goal is to build a team of robot soccer players that can beat a human World Cup champion team. This book is the second official archival publication devoted to RoboCup. It documents the achievements presented at the Second International Workshop on RoboCup held in Paris, France, in July 1998. The book opens with an overview section, provides research papers on selected technical topics, and presents technical and strategic descriptions of the work of participating teams. Of interest far beyond the rapidly growing RoboCup community, this book is also indispensable reading for R&D professionals interested in multi-agent systems, distributed artificial intelligence, and intelligent robotics.
THE ROBOTICS MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE ROBOTICS MCQ TO EXPAND YOUR ROBOTICS KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY.
Foreword by Michael Arbib This introduction to the principles, design, and practice of intelligent behavior-based autonomous robotic systems is the first true survey of this robotics field. The author presents the tools and techniques central to the development of this class of systems in a clear and thorough manner. Following a discussion of the relevant biological and psychological models of behavior, he covers the use of knowledge and learning in autonomous robots, behavior-based and hybrid robot architectures, modular perception, robot colonies, and future trends in robot intelligence. The text throughout refers to actual implemented robots and includes many pictures and descriptions of hardware, making it clear that these are not abstract simulations, but real machines capable of perception, cognition, and action.
This book presents the proceedings of the 6th International Symposium on Experimental Robotics held in Sydney in March 1999. The editors and contributors represent the leading robotics research efforts from around the world. Micro-machines, interplanetary exploration, minimally invasive surgery and emerging humanoid robots are among the most obvious attainments of leading robotics research teams reported in this volume. Less obvious but equally significant are the fundamental advances in robot map-building and methods of communication between humans and machines that are demonstrated through experimental results. This collection of papers will provide the reader with a concise report on the current achievements and future trends in robotics research across the world.
A concise, accessible introduction to robots, what they can do, what they can't, and what their increasing encroachment into our lives might mean for us. Since the turn of the millennium a quiet revolution has been underway. Millions of autonomous robots with some level of intelligence are now in domestic use, mainly as vacuum cleaners. Driverless cars - which are nothing less than autonomous robots - are starting to appear on our streets. There is a huge effort underway in industry and universities to develop the next generation of more intelligent, autonomous, mobile robots. Accompanying these arrivals has been a steady stream of inflammatory articles in the media raising concerns over the impending spectre of super-intelligent robots, along with stories about how most jobs will soon be lost to robots. Here, using the Question-and-Answer format, Phil Husbands gives a balanced and broad introduction to robotics and the current state of the field, analysing where it has come from, and where it might go in the future. He begins with the history of robotics and its complex relationship with popular culture, and then moves on to discuss the technology underlying robots in an engaging, non-technical way, exploring the limits of what robots can actually do now and what they might be able to do in the future. Naturally these machines, which often seem to display life-like properties, are attracting great attention. Do they pose a threat or an unprecedented opportunity? And although the 'singularity' may not be something to worry about, there are certainly ethical issues needing consideration as robots with some intelligence are used increasingly across many sectors. Husbands considers both these ethical problems and also the wider socio-political challenges that robots are already creating, and the larger ones they might bring in the future.
Providing a guided tour of the pioneering work and major technical issues, Multiagent Robotic Systems addresses learning and adaptation in decentralized autonomous robots. Its systematic examination demonstrates the interrelationships between the autonomy of individual robots and the emerged global behavior properties of a group performing a cooperative task. The author also includes descriptions of the essential building blocks of the architecture of autonomous mobile robots with respect to their requirement on local behavioral conditioning and group behavioral evolution. After reading this book you will be able to fully appreciate the strengths and usefulness of various approaches in the development and application of multiagent robotic systems. It covers: Why and how to develop and experimentally test the computational mechanisms for learning and evolving sensory-motor control behaviors in autonomous robots How to design and develop evolutionary algorithm-based group behavioral learning mechanisms for the optimal emergence of group behaviors How to enable group robots to converge to a finite number of desirable task states through group learning What are the effects of the local learning mechanisms on the emergent global behaviors How to use decentralized, self-organizing autonomous robots to perform cooperative tasks in an unknown environment Earlier works have focused primarily on how to navigate in a spatially unknown environment, given certain predefined motion behaviors. What is missing, however, is an in-depth look at the important issues on how to effectively obtain such behaviors in group robots and how to enable behavioral learning and adaptation at the group level. Multiagent Robotic Systems examines the key methodological issues and gives you an understanding of the underlying computational models and techniques for multiagent systems.
Robotics and VR systems are uniquely suited to provide functional assistance with mobility and activities of daily living, especially for patients with motor and sensory disorders of the central nervous system, stroke, traumatic brain injury, multiple sclerosis, spinal cord injury, and cerebral palsy. Compiling both current knowledge and key challenges of robotic rehabilitation in one convenient text, Robotics in Physical Medicine and Rehabilitation is a comprehensive, easy-to-follow resource on robotic and VR systems in all areas of medical rehabilitation. - Covers the impact of robotics and artificial intelligence on all aspects of health care delivery. - Focuses on the key technologies in developing robotics for a wide range of medical rehabilitation activities, including neuroprosthesis applications of robotic exoskeletons and brain-controlled assistive robotics and prosthetics. - Addresses artificial intelligence, medical robotics in acute care medicine, and robots on the battlefield and in space travel. - Contains chapters on the economics of the robotic industry and the future of robots in medicine. - Ideal for physiatrists and PM&R residents and fellows; clinicians in orthopaedics, sports medicine, spinal cord injury, and occupational therapy; and specialists working with orthotics and prosthetics.
Profiles eleven notable scientists in the field of robotics, discussing their research, accomplishments, ethical and professional obstacles, and contributions. Includes photographs, illustrations, chronology of notable events, and a list of resources.