Abstract


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Click to download PDF version Click to download BibTeX data Clik to view abstract C.-K. Chang, C. Siagian, L. Itti, Beobot 2.0: Autonomous Mobile Robot Localization and Navigation in Outdoor Pedestrian Environment, In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Video Track, p. 2079, Nov 2013. [2013 acceptance rate: 50.0%]

Abstract: We present Beobot 2.0, an autonomous mobile robot designed to operate in unconstrained urban environments. The goal of the project is to create service robots that can be deployed for various tasks that require long range travel. Over the past two years, Beobot has successfully traversed various paths across the USC campus, demonstrating its robustness in recognizing and following different types of roads, avoiding obstacles such as pedestrians and service vehicles, and finding its way to the goal.

Themes: Beobots

 

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