Introduction to AI RoboticsMIT Press, 2000 - 466 páginas A comprehensive introduction to the AI approach to robotics, combining theoretical rigor and practical applications; with case studies and exercises. This text covers all the material needed to understand the principles behind the AI approach to robotics and to program an artificially intelligent robot for applications involving sensing, navigation, planning, and uncertainty. Robin Murphy is extremely effective at combining theoretical and practical rigor with a light narrative touch. In the overview, for example, she touches upon anthropomorphic robots from classic films and science fiction stories before delving into the nuts and bolts of organizing intelligence in robots. Following the overview, Murphy contrasts AI and engineering approaches and discusses what she calls the three paradigms of AI robotics: hierarchical, reactive, and hybrid deliberative/reactive. Later chapters explore multiagent scenarios, navigation and path-planning for mobile robots, and the basics of computer vision and range sensing. Each chapter includes objectives, review questions, and exercises. Many chapters contain one or more case studies showing how the concepts were implemented on real robots. Murphy, who is well known for her classroom teaching, conveys the intellectual adventure of mastering complex theoretical and technical material. An Instructor's Manual including slides, solutions, sample tests, and programming assignments is available to qualified professors who are considering using the book or who are using the book for class use. |
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... Path Planning 10 Metric Path Planning 351 11 Localization and Map Making 12 On the Horizon 435 375 195 257 Contents Preface xvii I Robotic Paradigms 1 From Teleoperation To.
... Path Planning 325 9.1 Overview 325 9.2 Landmarks and Gateways 326 9.3 Relational Methods 328 9.3.1 Distinctive places 329 9.3.2 Advantages and disadvantages 9.4 Associative Methods 333 9.4.1 Visual homing 334 9.4.2 QualNav 335 331 9.5 ...
... Path planning 339 9.5.2 Navigation scripts 343 9.5.3 Lessons learned 346 9.6 Summary 348 9.7 Exercises 348 9.8 End notes 350 10 Metric Path Planning 351 10.1 Objectives and Overview 351 10.2 Configuration Space 353 10.3 Cspace ...
... path planning , and navigating with uncertainty . Although machine perception is a separate field of endeavor , the book covers enough computer vision and sensing to enable students to embark on a serious robot project or competition ...
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Reaction-Diffusion Computers Andrew Adamatzky,Benjamin De Lacy Costello,Tetsuya Asai Vista previa limitada - 2005 |
Scientific Methods in Mobile Robotics: Quantitative Analysis of Agent Behaviour Ulrich Nehmzow Vista previa limitada - 2006 |