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Robot Ecology
Constraint-Based Design for Long-Duration Autonomy
Buch von Magnus Egerstedt
Sprache: Englisch

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Beschreibung
A revolutionary new framework that draws on insights from ecology for the design and analysis of long-duration robotsRobots 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 paradigmâEUR"robot ecologyâEUR"that makes it possible to achieve long-duration autonomy while avoiding catastrophic failures. Central to ecology is the idea that the richness of an organismâEUR(TM)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.
A revolutionary new framework that draws on insights from ecology for the design and analysis of long-duration robotsRobots 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 paradigmâEUR"robot ecologyâEUR"that makes it possible to achieve long-duration autonomy while avoiding catastrophic failures. Central to ecology is the idea that the richness of an organismâEUR(TM)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.
Über den Autor
Magnus Egerstedt
Details
Erscheinungsjahr: 2021
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 360
Inhalt: Gebunden
ISBN-13: 9780691211688
ISBN-10: 069121168X
Sprache: Englisch
Einband: Gebunden
Autor: Egerstedt, Magnus
Hersteller: Princeton University Press
Maße: 167 x 243 x 30 mm
Von/Mit: Magnus Egerstedt
Erscheinungsdatum: 28.12.2021
Gewicht: 0,738 kg
preigu-id: 119929257
Über den Autor
Magnus Egerstedt
Details
Erscheinungsjahr: 2021
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 360
Inhalt: Gebunden
ISBN-13: 9780691211688
ISBN-10: 069121168X
Sprache: Englisch
Einband: Gebunden
Autor: Egerstedt, Magnus
Hersteller: Princeton University Press
Maße: 167 x 243 x 30 mm
Von/Mit: Magnus Egerstedt
Erscheinungsdatum: 28.12.2021
Gewicht: 0,738 kg
preigu-id: 119929257
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