From: [EMAIL PROTECTED]
Subject: new books from MIT Press
Date: Fri, 16 Feb 2001 15:29:17 GMT

NEW BOOKS IN COMPUTER SCIENCE FROM THE MIT PRESS

Featured in this e-mail:

Introduction to AI Robotics, by Robin R. Murphy
Evolutionary Robotics, by Stefano Nolfi and Dario Floreano

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Introduction to AI Robotics
Robin R. Murphy

http://mitpress.mit.edu/promotions/books/MURIHF00

This text covers all the material needed to understand the principles
behind the AI approach to robotics and to program an artificially
intelligent robot for applications involving sensing, navigation, planning,
and uncertainty. Robin Murphy is extremely effective at combining
theoretical and practical rigor with a light narrative touch. In the
overview, for example, she touches upon anthropomorphic robots from classic
films and science fiction stories before delving into the nuts and bolts of
organizing intelligence in robots.
 
Following the overview, Murphy contrasts AI and engineering approaches and
discusses what she calls the three paradigms of AI robotics: hierarchical,
reactive, and hybrid deliberative/reactive. Later chapters explore
multiagent scenarios, navigation and path-planning for mobile robots, and
the basics of computer vision and range sensing. Each chapter includes
objectives, review questions, and exercises. Many chapters contain one or
more case studies showing how the concepts were implemented on real robots.
Murphy, who is well known for her classroom teaching, conveys the
intellectual adventure of mastering complex theoretical and technical
material.
 
Robin R. Murphy is Associate Professor in the Department of Computer
Science and Engineering, and in the Department of Psychology, at the
University of South Florida, Tampa.

8 x 9, 400 pp., 100 illus., cloth ISBN 0-262-13383-0

Intelligent Robotics and Autonomous Agents series
A Bradford Book


Evolutionary Robotics
The Biology, Intelligence, and Technology of Self-Organizing Machines
Stefano Nolfi and Dario Floreano

http://mitpress.mit.edu/promotions/books/NOLEHF00

Evolutionary robotics is a new technique for the automatic creation of
autonomous robots. Inspired by the Darwinian principle of selective
reproduction of the fittest, it views robots as autonomous artificial
organisms that develop their own skills in close interaction with the
environment and without human intervention. Drawing heavily on biology and
ethology, it uses the tools of neural networks, genetic algorithms, dynamic
systems, and biomorphic engineering. The resulting robots share with simple
biological systems the characteristics of robustness, simplicity, small
size, flexibility, and modularity. 
 
In evolutionary robotics, an initial population of artificial chromosomes,
each encoding the control system of a robot, is randomly created and put
into the environment. Each robot is then free to act (move, look around,
manipulate) according to its genetically specified controller while its
performance on various tasks is automatically evaluated. The fittest robots
then "reproduce" by swapping parts of their genetic material with small
random mutations. The process is repeated until the "birth" of a robot that
satisfies the performance criteria.
 
This book describes the basic concepts and methodologies of evolutionary
robotics and the results achieved so far. An important feature is the clear
presentation of a set of empirical experiments of increasing complexity.
Software with a graphic interface, freely available on a Web page, will
allow the reader to replicate and vary (in simulation and on real robots)
most of the experiments.
 
Stefano Nolfi is Coordinator of the Division of Neural Systems and
Artificial Life, Institute of Psychology, National Research Council, Rome.
Dario Floreano is Assistant Professor of Biorobotics and Adaptive Systems,
Institute of Robotics, Department of Microengineering, Swiss Federal
Institute of Technology, Lausanne.

7 x 9, 384 pp., 157 illus., cloth ISBN 0-262-14070-5

Intelligent Robotics and Autonomous Agents series
A Bradford Book

"An excellent book providing a thorough coverage of the subject. Clearly
and insightfully written, this is a must for researchers and postgraduate
students interested in new approaches to intelligent robotics."

--Phil Husbands, School of Cognitive and Computing Sciences, University of
Sussex

"This is an exciting new area that has implications and ramifications
ranging from psychology to artificial life; can we create robots with
intelligent or adaptive behavior using techniques comparable to the
Darwinian evolution that created the animals and ourselves? Here is an
authoritative, clearly written survey written by two of the researchers who
helped to pioneer the field."

--Inman Harvey, Centre for Computational Neuroscience and Robotics and
Centre for the Study of Evolution, University of Sussex



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