Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution

Titus R. Neumann, Susanne A. Huber, Heinrich Bulthoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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 arc 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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages715-720
Number of pages6
Volume1327
ISBN (Print)3540636315, 9783540636311
Publication statusPublished - 1997
Externally publishedYes
Event7th International Conference on Artificial Neural Networks, ICANN 1997 - Lausanne, Switzerland
Duration: 1997 Oct 81997 Oct 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1327
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Artificial Neural Networks, ICANN 1997
CountrySwitzerland
CityLausanne
Period97/10/897/10/10

Fingerprint

Autonomous agents
Obstacle Avoidance
Collision avoidance
Stabilization
Genetic algorithms
Neural networks
Virtual Worlds
Autonomous Agents
Receptor
Closed-loop
Arc of a curve
Genetic Algorithm
Neural Networks
Vision
Perception

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Neumann, T. R., Huber, S. A., & Bulthoff, H. (1997). Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1327, pp. 715-720). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1327). Springer Verlag.

Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution. / Neumann, Titus R.; Huber, Susanne A.; Bulthoff, Heinrich.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1327 Springer Verlag, 1997. p. 715-720 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1327).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neumann, TR, Huber, SA & Bulthoff, H 1997, Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1327, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1327, Springer Verlag, pp. 715-720, 7th International Conference on Artificial Neural Networks, ICANN 1997, Lausanne, Switzerland, 97/10/8.
Neumann TR, Huber SA, Bulthoff H. Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1327. Springer Verlag. 1997. p. 715-720. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Neumann, Titus R. ; Huber, Susanne A. ; Bulthoff, Heinrich. / Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1327 Springer Verlag, 1997. pp. 715-720 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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