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

Antonio Chella, Salvatore Vitabile, Rosario Sorbello

Year
2002
Citations
4

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.

Keywords

Mobile robotMobile robot navigationComputer scienceRobotArtificial intelligenceMotion planningArchitecturePlan (archaeology)Computer visionRobot control

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