Mobile Robotics: A Practical Introduction
Mobile Robotics: A Practical Introduction (2nd edition) is an excellent introduction to the foundations and methods used for designing completely autonomous mobile robots. A fascinating, cutting-edge, research topic, autonomous mobile robotics is now taught in more and more universities. In this book you are introduced to the fundamental concepts of this complex field via twelve detailed case studies that show how to build and program real working robots. Topics covered in clued learning, autonomous navigation in unmodified, noisy and unpredictable environments, and high fidelity robot simulation. This new edition has been updated to include a new chapter on novelty detection, and provides a very practical introduction to mobile robotics for a general scientific audience. It is essential reading for 2nd and 3rd year undergraduate students and postgraduate students studying robotics, artificial intelligence, cognitive science and robot engineering. The update and overview of core concepts in mobile robotics will assist and encourage practitioners of the field and set challenges to explore new avenues of research in this exiting field. The author is Senior Lecturer at the Department of Computer Science at the University of Essex. "A very fine overview over the relevant problems to be solved in the attempt to bring intelligence to a moving vehicle." Professor Dr. Ewald von Puttkamer, University of Kaiserslautern "Case studies show ways of achieving an impressive repertoire of kinds of learned behaviour, navigation and map-building. The book is an admirable introduction to this modern approach to mobile robotics and certainly gives a great deal of food for thought. This is an important and though-provoking book." Alex M. Andrew in Kybernetes Vol 29 No 4 and Robotica Vol 18
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achieve agent artificial intelligence autonomous mobile robots Autonomous Robots behaviour-based approach behaviour-based control Behaviour-Based Robotics build chapter constant depth Control Paradigms control system dead reckoning decomposition discussed distance emitted error example experiments fluxgate compass functional approach fundamental GRASMOOR Hans Moravec hardware industrial robots intelligent behaviour intelligent robot International Jonathan Shapiro laser range finders layers machine magnetic compass magnetic field maps measure mobile robotics research module Moravec motors movement navigation Nehmzow Novelty Detection object obstacle avoidance Odometry operate output physical symbol system pixel Proc pulse range sensors real robots reflected REGIONS OF CONSTANT representation result robot behaviour robot control robot learning robot sensors robot-environment interaction rotation sensor fusion sensor signals sensors and actuators shaft encoders SHAKEY Shape Memory Alloys shown in figure simulation sonar sensors speed structure studies subsumption architecture symbol grounding tactile sensors task and environment tion world model