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Journal ArticleDOI

Automatic design and manufacture of robotic lifeforms

Hod Lipson, +1 more
- 31 Aug 2000 - 
- Vol. 406, Iss: 6799, pp 974-978
TLDR
A combined computational and experimental approach is reported in which simple electromechanical systems are evolved through simulations from basic building blocks, and the ‘fittest’ machines are then fabricated robotically using rapid manufacturing technology.
Abstract
Biological life is in control of its own means of reproduction, which generally involves complex, autocatalysing chemical reactions. But this autonomy of design and manufacture has not yet been realized artificially1. Robots are still laboriously designed and constructed by teams of human engineers, usually at considerable expense. Few robots are available because these costs must be absorbed through mass production, which is justified only for toys, weapons and industrial systems such as automatic teller machines. Here we report the results of a combined computational and experimental approach in which simple electromechanical systems are evolved through simulations from basic building blocks (bars, actuators and artificial neurons); the ‘fittest’ machines (defined by their locomotive ability) are then fabricated robotically using rapid manufacturing technology. We thus achieve autonomy of design and construction using evolution in a ‘limited universe’ physical simulation2,3 coupled to automatic fabrication.

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Citations
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Self-Organization, Embodiment, and Biologically Inspired Robotics

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References
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Book

Adaptation in natural and artificial systems

TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
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Neural Networks: A Comprehensive Foundation

Simon Haykin
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
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Artificial Intelligence through Simulated Evolution

TL;DR: This chapter contains sections titled: References Artificial Intelligence through a Simulation of Evolution Natural Automata and Prosthetic Devices and Artificial intelligence through a simulation of Evolution natural automata and prosthetic devices.
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Carbon Nanotube Actuators

TL;DR: Predictions based on measurements suggest that actuators using optimized nanotube sheets may eventually provide substantially higher work densities per cycle than any previously known technology.