Abstract: 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.
Citation:
A. Chella, S. Vitabile, R. Sorbello, "A Vision Agent for Mobile Robot Navigation in Time-Variable Environments," iciap, pp.0559, 11th International Conference on Image Analysis and Processing (ICIAP'01), 2001