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A vision agent for mobile robot navigation in time-variable environments

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3 Author(s)
Chella, A. ; Dipartimento di Ingegneria Autom. ed Inf., Palermo Univ., Italy ; Vitabile, S. ; Sorbello, R.

We present an architecture for mobile robot navigation based on Bayesian networks. The architecture allows a robot to plan the correct path inside an environment with dynamic obstacles. Interactions between the robot and the environment are based on a powerful vision agent. The results of simulations, showing the effectiveness of the approach, are described

Published in:

Image Analysis and Processing, 2001. Proceedings. 11th International Conference on

Date of Conference:

26-28 Sep 2001

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