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  Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution

Neumann, T., Huber, S., & Bülthoff, H. (1997). Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution. Proceedings of the 7th International Conference on Artificial Neural Networks ICANN 1997 (Eds. W. Gerstner, A. Germond, M. Hasler and J.-D. Nicoud), 715-720.

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 Creators:
Neumann, TR1, Author           
Huber, SA1, Author           
Bülthoff, HH1, Author           
Gerstner, Editor
W., Editor
Germond, A., Editor
Hasler, M., Editor
Nicoud, J.-D., Editor
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: We present a minimalistic approach to establish obstacle avoidance and course stabilization behavior of a simulated flying autonomous agent in a 3D virtual world. The agent uses visual cues, and its sensory and motor components are based on biological principles found in flies. A simple neural network is used for coupling the receptor and effector systems of the agent. In order to achieve appropriate reactions to sensory input, the connection weights are adjusted by a genetic algorithm under a closed loop action-perception condition.

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 Dates: 1997-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 3-540-63631-5
URI: http://www.springerlink.com/content/wqu03w5xq3854173/fulltext.pdf
DOI: 10.1007/BFb0020238
BibTex Citekey: 373
 Degree: -

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Title: 7th International Conference on Artificial Neural Networks
Place of Event: Lausanne, Switzerland
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Title: Proceedings of the 7th International Conference on Artificial Neural Networks ICANN 1997 (Eds. W. Gerstner, A. Germond, M. Hasler and J.-D. Nicoud)
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 715 - 720 Identifier: -