http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
sensing, control, decision-making, and applications
1 online resource (xxi, 709 pages) : illustrations
Annotation It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is seemingly unlimited. Roadmap to the Future Serving as the first comprehensive reference on this interdisciplinary technology, Autonomous Mobile Robots: Sensing, Control, Decision Making, and Applications authoritatively addresses the theoretical, technical, and practical aspects of the field. The book examines in detail the key components that form an autonomous mobile robot, from sensors and sensor fusion to modeling and control, map building and path planning, and decision making and autonomy, and to the final integration of these components for diversified applications. Trusted Guidance A duo of accomplished experts leads a team of renowned international researchers and professionals who provide detailed technical reviews and the latest solutions to a variety of important problems. They share hard-won insight into the practical implementation and integration issues involved in developing autonomous and open robotic systems, along with in-depth examples, current and future applications, and extensive illustrations. For anyone involved in researching, designing, or deploying autonomous robotic systems, Autonomous Mobile Robots is the perfect resource.
Sensors and sensor fusion -- Visual guidance for autonomous vehicles: capability and challenges -- Millimeter wave RADAR power-range spectra interpretation for multiple feature detection -- Data fusion via Kalman filter: GPS and INS -- landmarks and triangulation in navigation -- Moedeling and control -- Stabilization of nonholonomic systems -- Adaptive neural-fuzzy control of nonholonomic mobile robots -- Adaptive control of mobile robots including actuator dynamics -- unified control design for autonomous car-like vehicle tracking maneuvers -- Map building and path planning -- Map building and SLAM algorithms -- Motion planning: recent developments -- Multi-robot cooperation -- Decision making and autonomy -- Knowledge representation and decision making for mobile robots -- Algorithms for planning under uncertainty on prediction and sensing -- Behavior-based coordination in multi-robot systems -- System integration and applications -- Integration for complex consumer robotic systems: case studies and analysis -- Automotive systems / robotic vehicles -- Intelligent systems.
[edited by] Shuzhi Sam Ge, Frank L. Lewis.
Includes bibliographical references and index.
Boca Raton, Fla. ; London : Taylor & Francis, 2006
Control engineering (Taylor & Francis) ; 22