A mobile robot architecture must include sensing, planning, and locomotion which are tied together by a model or map of the world based on sensor information, a priori knowledge and generic models. The architecture of a Stanford's autonomous mobile robot is described including its distributed computing system, locomotion, and sensing. Additionally, some of the issues in the representation of a world model are explored. Sensor models are used to update the world model in a uniform manner, and uncertainty reduction is discussed.
CITATION STYLE
Kriegman, D. J., Triendl, E., & Binford, T. O. (1987). MOBILE ROBOT: SENSING, PLANNING AND LOCOMOTION. (pp. 402–408). IEEE. https://doi.org/10.1007/978-1-4613-8997-2_33
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