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.
A vision agent for mobile robot navigation in time-variable environments
2001-01-01
567138 byte
Conference paper
Electronic Resource
English
A Vision Agent for Mobile Robot Navigation in Time-Variable Environments
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