Probabilistic algorithms and the interactive museum tour-guide robot minerva

被引：245

作者：

Thrun, S ^{[1
]}

Beetz, M

Bennewitz, M

Burgard, W

Cremers, AB

Dellaert, F

Fox, D

Hähnel, D

Rosenberg, C

Roy, N

Schulte, J

Schulz, D

机构：

[1] Carnegie Mellon Univ, Sch Comp Sci, Pittsburgh, PA 15213 USA

[2] Univ Bonn, Comp Sci Dept 3, D-5300 Bonn, Germany

[3] Univ Freiburg, Dept Comp Sci, Freiburg, Germany

来源：

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH | 2000年 / 19卷 / 11期

关键词：

D O I：

10.1177/02783640022067922

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

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.

引用

页码：972 / 999

页数：28