Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva

Author:

Thrun S.1,Beetz M.2,Bennewitz M.,Burgard W.3,Cremers A. B.2,Dellaert F.,Fox D.1,Hähnel D.3,Rosenberg C.,Roy N.,Schulte J.1,Schulz D.2

Affiliation:

1. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA

2. Computer Science Dept., University of Freiburg, Freiburg, Germany

3. Computer Science Dept. III, University of Bonn, Bonn, Germany

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.

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modelling and Simulation,Software

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