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The Convergence Property of Goal-based Visual Navigation

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Bianco, Giovanni
Zelinsky, Alex

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Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

The use of landmarks is a natural and instinctive method to determine the whereabouts of a location or a means to proceed to a particular location. Results provided in this paper indicate that landmark-based navigation possesses a corrective or feedback trait that produces a convergence bound on the movements to the goal position, in contrast to the odometry-based movements, which leads to the drift between successive navigation movements. Experiments show that the vector field approach can be used to explain the convergence property of landmark-based guidance tasks. Experiments have been carried out operating with a Nomad mobile robot equipped with real-time visual landmark tracking system.

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Proceedings of the 2002 IEEE/ RSJ International Conference on Intelligent Robots and Systems

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