Introduction to ai robotics, Murphy, Robin R.

Автор: Winfield Alan
Название: Robotics: A Very Short Introduction
ISBN: 0199695989 ISBN-13(EAN): 9780199695980
Издательство: Oxford Academ
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Цена: 1582.00 р.
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Описание: Robotics is a key technology in the modern world. Yet, despite these successes, robots have failed to live up to the predictions of the 1950s and 60s. In this Very Short Introduction, Alan Winfield considers how robotics can be both a success story and a disappointment, and how robots can be both ordinary and quite remarkable.

Автор: Jones, Martin Hartley
Название: A practical introduction to electronic circuits
ISBN: 0521478790 ISBN-13(EAN): 9780521478793
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This book provides a practically based explanation of electronics which can be understood by any reader who has some knowledge of electrical circuits. The third edition of this highly successful book is an ideal first text for degree and vocational course students in electronics.

Автор: Greenwood, Garrison W. Tyrrell, Andrew M.
Название: Introduction to evolvable hardware
ISBN: 0471719773 ISBN-13(EAN): 9780471719779
Издательство: Wiley
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Цена: 10850.00 р.
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Описание: Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems provides a fundamental introduction for engineers, designers, and managers involved in the development of adaptive, high reliability systems. It also introduces the concepts of evolvable hardware (EHW) to new researchers in a structured way. .

Автор: Siegwart Roland
Название: Introduction to autonomous mobile robots
ISBN: 0262015358 ISBN-13(EAN): 9780262015356
Издательство: MIT Press
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Цена: 12697.00 р.
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Описание:

The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms.

Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques.

This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners.

Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.

Автор: H.B. Mitchell
Название: Multi-Sensor Data Fusion: An Introduction
ISBN: 3642090672 ISBN-13(EAN): 9783642090677
Издательство: Springer
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Цена: 13059.00 р.
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Описание: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.