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AAAI
1992

Automatic Programming of Robots Using Genetic Programming

9 years 15 days ago
Automatic Programming of Robots Using Genetic Programming
The goal in automatic programming is to get a computer to perform a task by telling it what needs to be done, rather than by explicitly programming it. This paper considers the task of automatically generating a computer program to enable an autonomous mobile robot to perform the task of moving a box from the middle of an irregular shaped room to the wall. We compare the ability of the recently developed genetic programming paradigm to produce such a program to the reported ability of reinforcement learning techniques, such as Q learning, to produce such a program in the style of the subsumption architecture. The computational requirements of reinforcement learning necessitates considerable human knowledge and intervention, whereas genetic programming comes much closer to achieving the goal of getting the computer to perform the task without explicitly programming it. The solution produced by genetic programming emerges as a result of Darwinian natural selection and genetic crossover ...
John R. Koza, James Rice
Added 06 Nov 2010
Updated 06 Nov 2010
Type Conference
Year 1992
Where AAAI
Authors John R. Koza, James Rice
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