| Titre : | Autonomous Mobile Robots : sensing, control, decision making and applications | | Type de document : | texte imprimé | | Auteurs : | Shuzhi Sam Ge, Auteur ; Frank L. Lewis, Auteur | | Editeur : | Boca Raton; London; New York : CRC Press/Taylor & Françis Group | | Année de publication : | 2006 | | Collection : | Control Engineering Series | | Importance : | 709 p. | | Présentation : | couv. ill.,ill. | | Format : | 23,5 cm. | | ISBN/ISSN/EAN : | 978-0-84933-748-2 | | Langues : | Anglais (eng) | | Catégories : | AUTOMATISME
| | Index. décimale : | 25-08 Robotique.Application et simulation | | Résumé : | 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. | | Note de contenu : | Table of Contents
I SENSORS AND SENSOR FUSION
Chapter 1 Visual Guidance for Autonomous Vehicles: Capability and Challenges
Chapter 2 Millimeter Wave RADAR Power-Range Spectra Interpretation for Multiple Feature Detection
Chapter 3 Data Fusion via Kalman Filter: GPS and INS
Chapter 4 Landmarks and Triangulation in Navigation
II MODELING AND CONTROL
Chapter 5 Stabilization of Nonholonomic Systems
Chapter 6 Adaptive Neural-Fuzzy Control of Nonholonomic Mobile Robots
Chapter 7 Adaptive Control of Mobile Robots Including Actuator Dynamics
Chapter 8 Unified Control Design for Autonomous Car-Like Vehicle Tracking Maneuvers
III MAP BUILDING AND PATH PLANNING
Chapter 9 Map Building and SLAM Algorithms
Chapter 10 Motion Planning: Recent Developments
Chapter 11 Multi-Robot Cooperation
IV DECISION MAKING AND AUTONOMY
Chapter 12 Knowledge Representation and Decision Making for Mobile Robots
Chapter 13 Algorithms for Planning under Uncertainty in Prediction and Sensing
Chapter 14 Behavior-Based Coordination in Multi-Robot Systems
V SYSTEM INTEGRATION AND APPLICATIONS
Chapter 15 Integration for Complex Consumer Robotic Systems: Case Studies and Analysis
Chapter 16 Automotive Systems/Robotic Vehicles
Chapter 17 Intelligent Systems
INDEX |
Autonomous Mobile Robots : sensing, control, decision making and applications [texte imprimé] / Shuzhi Sam Ge, Auteur ; Frank L. Lewis, Auteur . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2006 . - 709 p. : couv. ill.,ill. ; 23,5 cm.. - ( Control Engineering Series) . ISBN : 978-0-84933-748-2 Langues : Anglais ( eng) | Catégories : | AUTOMATISME
| | Index. décimale : | 25-08 Robotique.Application et simulation | | Résumé : | 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. | | Note de contenu : | Table of Contents
I SENSORS AND SENSOR FUSION
Chapter 1 Visual Guidance for Autonomous Vehicles: Capability and Challenges
Chapter 2 Millimeter Wave RADAR Power-Range Spectra Interpretation for Multiple Feature Detection
Chapter 3 Data Fusion via Kalman Filter: GPS and INS
Chapter 4 Landmarks and Triangulation in Navigation
II MODELING AND CONTROL
Chapter 5 Stabilization of Nonholonomic Systems
Chapter 6 Adaptive Neural-Fuzzy Control of Nonholonomic Mobile Robots
Chapter 7 Adaptive Control of Mobile Robots Including Actuator Dynamics
Chapter 8 Unified Control Design for Autonomous Car-Like Vehicle Tracking Maneuvers
III MAP BUILDING AND PATH PLANNING
Chapter 9 Map Building and SLAM Algorithms
Chapter 10 Motion Planning: Recent Developments
Chapter 11 Multi-Robot Cooperation
IV DECISION MAKING AND AUTONOMY
Chapter 12 Knowledge Representation and Decision Making for Mobile Robots
Chapter 13 Algorithms for Planning under Uncertainty in Prediction and Sensing
Chapter 14 Behavior-Based Coordination in Multi-Robot Systems
V SYSTEM INTEGRATION AND APPLICATIONS
Chapter 15 Integration for Complex Consumer Robotic Systems: Case Studies and Analysis
Chapter 16 Automotive Systems/Robotic Vehicles
Chapter 17 Intelligent Systems
INDEX |
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