How biology has inspired technology--from a watch with an alarm modeled on a cricket's noisemaking to a robot that can dance.
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"Over the last twenty-five years, a subset of computational and robotics researchers around the world have taken to studying biological creatures in order to figure out how to build robots. And at the same time the constraints they have discovered in building robots have been used to illuminate how the biological systems must work. Guillot and Meyer have been both intellectual and organizational leaders in this field, and in "How to Catch a Robot Rat" they carefully document the history and intellectual currents of the field."-Rodney Brooks, MIT
"Superbly narrated and richly illustrated, this book is an excellent place to learn how robots are starting to take a life of their own that will ultimately improve ours. The authors, two pioneers in the field of bio-inspired robotics, frame the most recent and future developments into the history of man's attempt to create lifelike machines."-Dario Floreano, Director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology in Lausanne (EPFL)
"In summary, this is an excellent and thought-provoking book. It is highly recommended to anyone interested in current and potential ways of incorporating biological principles into the design of new machines and systems."-- G.A. Bekey, "Computing Reviews"
"In summary, this is an excellent and thought-provoking book. It is highly recommended to anyone interested in current and potential ways of incorporating biological principles into the design of new machines and systems." G.A. Bekey Computing Reviews
"In summary, this is an excellent and thought-provoking book. It is highly recommended to anyone interested in current and potential ways of incorporating biological principles into the design of new machines and systems." -- G.A. Bekey, Computing Reviews
-In summary, this is an excellent and thought-provoking book. It is highly recommended to anyone interested in current and potential ways of incorporating biological principles into the design of new machines and systems.- -- G.A. Bekey, Computing Reviews
Agnes Guillot is Assistant Professor in Psychophysiology at the University of Paris X and a researcher at the Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris. Jean-Arcady Meyer is Emeritus Research Director at CNRS (Centre National de la Recherche Scientifique) and a researcher at the Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris.
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