Robot shaping: an experiment in behavior engineering

Foreword by Lashon BookerTo program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction wit...

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Bibliographische Detailangaben
Beteilige Person: Dorigo, Marco
Weitere beteiligte Personen: Colombetti, Marco
Format: E-Book
Sprache:Englisch
Veröffentlicht: ©1998
Schriftenreihe:Intelligent robotics and autonomous agents
Links:https://doi.org/10.7551/mitpress/5988.001.0001?locatt=mode:legacy
Zusammenfassung:Foreword by Lashon BookerTo program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy," and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology.
Beschreibung:"A Bradford book."
Umfang:1 Online-Ressource (xviii, 203 Seiten) Illustrationen
ISBN:0262041642
0262271877
0585031037
9780262041645
9780262271875
9780585031033