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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... Task Control Architecture ( TCA ) 280 7.7 Other Robots in the Hybrid Paradigm 283 7.8 Evaluation of Hybrid Architectures 284 7.9 Interleaving Deliberation and Reactive Control 285 7.10 Summary 288 7.11 Exercises 289 7.12 End Notes 291 8 ...
... tasks , but was a dead end in explaining the entire range of human intelligence . But the Reactive Paradigm has many ... task into subtasks ( also called " mission planning " ) and then what are the suitable behaviors to accomplish each ...
... task - oriented global world model . The planner may also " eavesdrop " on the sensing done by each behavior ( i.e. , the behavior identifies obstacles that could then be put into a map of the world by the planner ) . Each function ...
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Referencias a este libro
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 |