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Synthesizing Physically-Realistic Environmental Models from Robot Exploration.
- Source :
- Advances in Artificial Life (9783540749127); 2007, p806-815, 10p
- Publication Year :
- 2007
-
Abstract
- In previous work [4] a framework was demonstrated that allows an autonomous robot to automatically synthesize physically-realistic models of its own body. Here it is demonstrated how the same approach can be applied to empower a robot to synthesize physically-realistic models of its surroundings. Robots which build numerical or other non-physical models of their environments are limited in the kinds of predictions they can make about the repercussions of future actions. In this paper it is shown that a robot equipped with a self-made, physically-realistic model can extrapolate: a slow-moving robot consistently predicts the much faster top speed at which it can safely drive across a terrain. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540749127
- Database :
- Complementary Index
- Journal :
- Advances in Artificial Life (9783540749127)
- Publication Type :
- Book
- Accession number :
- 33290094
- Full Text :
- https://doi.org/10.1007/978-3-540-74913-4_81