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E-grāmata: Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications [Taylor & Francis e-book]

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  • Formāts: 736 pages
  • Izdošanas datums: 19-Sep-2019
  • Izdevniecība: CRC Press
  • ISBN-13: 9781315221229
  • Taylor & Francis e-book
  • Cena: 355,74 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standarta cena: 508,20 €
  • Ietaupiet 30%
  • Formāts: 736 pages
  • Izdošanas datums: 19-Sep-2019
  • Izdevniecība: CRC Press
  • ISBN-13: 9781315221229
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.
I Sensors and Sensor Fusion
1(186)
Chapter 1 Visual Guidance for Autonomous Vehicles: Capability and Challenges
5(36)
Andrew Shacklock
Jian Xu
Han Wang
Chapter 2 Millimeter Wave RADAR Power-Range Spectra Interpretation for Multiple Feature Detection
41(58)
Martin Adams
Ebi Jose
Chapter 3 Data Fusion via Kalman Filter: GPS and INS
99(50)
Jingrong Cheng
Yu Lu
Elmer R. Thomas
Jay A. Farrell
Chapter 4 Landmarks and Triangulation in Navigation
149(38)
Huosheng Hu
Julian Ryde
Jiali Shen
II Modeling and Control
187(144)
Chapter 5 Stabilization of Nonholonomic Systems
191(38)
Alessandro Astolfi
Chapter 6 Adaptive Neural-Fuzzy Control of Nonholonomic Mobile Robots
229(38)
Fan Hong
Shuzhi Sam Ge
Frank L. Lewis
Tong Heng Lee
Chapter 7 Adaptive Control of Mobile Robots Including Actuator Dynamics
267(28)
Zhuping Wang
Chun-Yi Su
Shuzhi Sam Ge
Chapter 8 Unified Control Design for Autonomous Car-Like Vehicle Tracking Maneuvers
295(36)
Danwei Wang
Minhtuan Pham
III Map Building and Path Planning
331(130)
Chapter 9 Map Building and SLAM Algorithms
335(38)
Jose A. Castellanos
Jose Neira
Juan D. Tardos
Chapter 10 Motion Planning: Recent Developments
373(44)
Hector H. Gonzalez-Banos
David Hsu
Jean-Claude Latombe
Chapter 11 Multi-Robot Cooperation
417(44)
Rafael Fierro
Luiz Chaimowicz
Vijay Kumar
IV Decision Making and Autonomy
461(110)
Chapter 12 Knowledge Representation and Decision Making for Mobile Robots
465(36)
Elena Messina
Stephen Balakirsky
Chapter 13 Algorithms for Planning under Uncertainty in Prediction and Sensing
501(48)
Jason M. O'Kane
Benjamin Tovar
Peng Cheng
Steven M. LaValle
Chapter 14 Behavior-Based Coordination in Multi-Robot Systems
549(22)
Chris Jones
Maja J. Mataric
V System Integration and Applications
571(126)
Chapter 15 Integration for Complex Consumer Robotic Systems: Case Studies and Analysis
573(40)
Mario E. Munich
James P. Ostrowski
Paolo Pirjanian
Chapter 16 Automotive Systems/Robotic Vehicles
613(42)
Michel R. Parent
Stephane R. Petti
Chapter 17 Intelligent Systems
655(42)
Sesh Commuri
James S. Albus
Anthony Barbera
Index 697
Shuzhi Sam Ge, Frank L. Lewis