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Vision-Motion Planning of a Mobile Robot considering Vision Uncertainty and Planning Cost

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Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Planning and Scheduling. Pages 1194-1199.

Abstract

This paper proposes a planning method for a vision-guided mobile robot und er vision uncertainty and limited computational resources. The method considers the following two tradeoff's: (1) granularity in approximating a probabilistic distribution vs. plan quality, and (2) search depth vs . plan quality. Th e first tradeoff is managed by predicting the plan quality for a granularity using a learned relationship between them, and by adaptively selecting the best granularity. The second trade-off is managed by formulating the planning process as a search in the space of feasible plans , and by appropriately limiting the search considering the merit of each step of the search . Simulation r esults and experiments using a real robot show the feasibility of the method.

Jun Miura, and Yoshiaki Shirai. 1997. Vision-Motion Planning of a Mobile Robot considering Vision Uncertainty and Planning Cost. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97. IJCAI, 1194–1199. https://ijcai.org/proceedings/1997/172
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