SEEKING AND AVOIDING COLLISIONS - A Biologically Plausible Approach

M. A. J. Bourassa, N. Abdellaoui

Abstract

The success of an agent model that incorporates a hierarchical structure of needs, required that the needs trigger human-like actions such as collision avoidance. This paper demonstrates a minimalist, “rule-of-thumb” collision avoidance approach that performs well in dynamic, obstacle-cluttered domains. The algorithm relies only on the range, range rate, bearing, and bearing rate of a target perceived by an agent. Computation is minimal and the approach yields a natural behaviour suitable for robotic or computer generated agents in games.

References

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Paper Citation


in Harvard Style

A. J. Bourassa M. and Abdellaoui N. (2012). SEEKING AND AVOIDING COLLISIONS - A Biologically Plausible Approach . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-96-6, pages 240-245. DOI: 10.5220/0003753602400245


in Bibtex Style

@conference{icaart12,
author={M. A. J. Bourassa and N. Abdellaoui},
title={SEEKING AND AVOIDING COLLISIONS - A Biologically Plausible Approach},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2012},
pages={240-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003753602400245},
isbn={978-989-8425-96-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - SEEKING AND AVOIDING COLLISIONS - A Biologically Plausible Approach
SN - 978-989-8425-96-6
AU - A. J. Bourassa M.
AU - Abdellaoui N.
PY - 2012
SP - 240
EP - 245
DO - 10.5220/0003753602400245