Abstract

This paper describes Minerva, an interactive tour-guide robot that was successfully deployed in a Smithsonian museum. Minerva’s software is pervasively probabilistic, relying on explicit representations of uncertainty in perception and control. During 2 weeks of operation, the robot interacted with thousands of people, both in the museum and through the Web, traversing more than 44 km at speeds of up to 163 cm/sec in the unmodified museum.

Keywords

Probabilistic logicRobotTraverseComputer scienceSoftwareComputer graphics (images)AlgorithmArtificial intelligenceGeographyProgramming languageCartography

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Publication Info

Year
2000
Type
article
Volume
19
Issue
11
Pages
972-999
Citations
515
Access
Closed

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Cite This

Sebastian Thrun, Michael Beetz, Maren Bennewitz et al. (2000). Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva. The International Journal of Robotics Research , 19 (11) , 972-999. https://doi.org/10.1177/02783640022067922

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DOI
10.1177/02783640022067922