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Author Thrun, Sebastian
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Planning and navigation algorithms exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.
Description Affiliation: School of Computer Science of Carnegie Mellon University, Pittsburgh, PA (Thrun, Sebastian)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 45
Issue Number 3
Page Count 6
Starting Page 52
Ending Page 57


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Source: ACM Digital Library