Genetic Programming for Real World Robot Vision (2002) [4 citations — 0 self]
by
Martin C. Martin
Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and System
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@INPROCEEDINGS{Martin02geneticprogramming,
author = {Martin C. Martin},
title = {Genetic Programming for Real World Robot Vision},
booktitle = {Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and System},
year = {2002},
pages = {67--72}
}
author = {Martin C. Martin},
title = {Genetic Programming for Real World Robot Vision},
booktitle = {Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and System},
year = {2002},
pages = {67--72}
}
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Abstract:
The vision subsystem of an autonomous mobile robot was created using a form of evolutionary computation known as genetic programming. In this form, individuals are algorithms represented as parse trees. The primitives of the representation were specifically chosen to capture the spirit of existing vision algorithms. Thus, the evolutionary computation can be viewed as searching roughly the same space that researchers search when developing their system using trial and error.
