Bibliographic Details

Robot shaping : an experiment in behavior engineering / Marco Dorigo and Marco Colombetti.

Author / Creator Dorigo, Marco.
Imprint Cambridge, Mass. : MIT Press, ©1998.
©1998
Description 1 online resource (xviii, 203 pages) : illustrations.
Language English
Series Intelligent robotics and autonomous agents
Intelligent robotics and autonomous agents.
Subject Robots -- Control systems.
Machine learning.
Robots -- Motion.
Robots -- Commande, Systèmes de.
Apprentissage automatique.
Robots -- Mouvements.
TECHNOLOGY & ENGINEERING -- Robotics.
Machine learning.
Robots -- Control systems.
Robots -- Motion.
Mechanical Engineering - General.
Mechanical Engineering.
Engineering & Applied Sciences.
Electronic books.
Electronic books.
Format E-Resource, Book
URL for this record http://pi.lib.uchicago.edu/1001/cat/bib/11102162
Other authors / contributors Colombetti, Marco.
ISBN 0585031037
9780585031033
9780262041645
0262041642
9780262271875
0262271877
Digital file characteristics text file PDF
Notes "A Bradford book."
Includes bibliographical references (pages 191-199) and index.
Access restricted to Ryerson students, faculty and staff.
English.
Summary 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.
Other form Print version: Dorigo, Marco. Robot shaping. Cambridge, Mass. : MIT Press, ©1998 0262041642