- Hardcover: 220 pages
- Publisher: MIT Press (23 Dec 1997)
- Language English
- ISBN-10: 0262041642
- ISBN-13: 978-0262041645
- Product Dimensions: 23.6 x 18.4 x 1.9 cm
- Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: 3,204,416 in Books (See Top 100 in Books)
- See Complete Table of Contents
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More About the Author
Product Description
Product Description
foreword by Lashon Booker To 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.
About the Author
Marco Dorigo is research director of the IRIDIA lab at the Universite Libre de Bruxelles and the inventor of the Ant Colony Optimization metaheuristic for combinatorial optimization problems.
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4.0 out of 5 stars
Interesting,
By A Customer
This review is from: Robot Shaping: An Experiment in Behavior Engineering (Bradford Book) (Intelligent Robotics & Autonomous Agents Series) (Hardcover)
This books main strength is that it concentrates on the interaction between a human trainer and an artificial learning system. The actual learning system in question is fairly dated now, but doing learning in a robotic environment is a hard task. Their achievement is impressive.
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