杭州电子科技大学图书馆书目检索系统

Online Public Access Catalogue

题名/责任者:

Robot ecology : constraint-based design for long-duration autonomy / Magnus Egerstedt.

出版发行项:

Princeton : Oxford ; Princeton University Press, 2021.

ISBN:

9780691211688:

ISBN:

069121168X

载体形态项:

xix, 333 pages : illustrations (black and white) ; 25 cm

变异题名:

Constraint-based design for long-duration autonomy

个人责任者:

Egerstedt, Magnus, author.

论题主题:

Robots-Environmental aspects.

论题主题:

Autonomous robots-Design and construction.

论题主题:

Robotics-Environmental aspects.

论题主题:

Ecology.

中图法分类号:

TP242

书目附注:

Includes bibliographical references and index.

内容附注:

Long-duration autonomy -- Constraint-based control -- Robots iin the wild.

摘要附注:

"Robots are increasingly leaving the confines of laboratories, warehouses, and manufacturing facilities, venturing into agriculture and other settings where they must operate in uncertain conditions over long timescales. This multidisciplinary book draws on the principles of ecology to show how robots can take full advantage of the environments they inhabit, including as sources of energy. Magnus Egerstedt introduces a revolutionary new design paradigm-robot ecology-that makes it possible to achieve long-duration autonomy while avoiding catastrophic failures. Central to ecology is the idea that the richness of an organism's behavior is a function of the environmental constraints imposed by its habitat. Moving beyond traditional strategies that focus on optimal policies for making robots achieve targeted tasks, Egerstedt explores how to use survivability constraints to produce both effective and provably safe robot behaviors. He blends discussions of ecological principles with the development of control barrier functions as a formal approach to constraint-based control design, and provides an in-depth look at the design of the SlothBot, a slow and energy-efficient robot used for environmental monitoring and conservation. Visionary in scope, Robot Ecology presents a comprehensive and unified methodology for designing robots that can function over long durations in diverse natural environments"--

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