Bøker av Frank L. (The University of Texas at Arlington Lewis

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 FutureServing 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 GuidanceA 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.

Offers a survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. This book explicates theoretical and mathematical requisites for controls design and summarizes techniques in computer simulation and implementation of controllers.

Addresses theoretical, technical, and practical aspects of the field. This book examines 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.

Reflects the developments in estimation theory and design techniques. This book covers the robust Kalman filter, H-infinity filtering, and H-infinity filtering of discrete-time systems. It includes examples that highlight practical applications of the theory and concepts.