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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Resultados 1-5 de 48
... Steps in Designing a Reactive Behavioral System Case Study : Unmanned Ground Robotics Competition Assemblages of Behaviors 173 5.5.1 Finite state automata 174 5.5.2 A Pick Up the Trash FSA 178 5.5.3 Implementation examples 182 5.5.4 ...
... step , the robot explicitly plans the next move . The other distinguishing feature of the Hierarchical paradigm is that all the sensing data tends to be gathered into one global world model , a single representation that the planner can ...
... step , then sensing and acting are done together . Sensing organization in the Hybrid Paradigm is also a mixture of Hierarchical and Reactive styles . Sensor data gets routed to each behavior that needs that sensor , but is also ...
... step in constructing the AI component of a robot . But that step is quickly followed with the need to use the tools associated with that paradigm . In order to visualize how to apply these paradigms to real - world applications , it is ...
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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 |