articleCommunications of the ACMMar 1, 2002Closed access

Probabilistic robotics

STSebastian Thrun

Carnegie Mellon University

Indexed incrossref

Abstract

Planning and navigation algorithms exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.

Citation impact

8,002
total citations
FWCI
4.42
Percentile
100%
References
11
Citations per year

Authors

1

Topics & keywords

Topics
Keywords
  • Artificial intelligence
  • Robotics
  • Computer science
  • Probabilistic logic
  • Robot
UN Sustainable Development Goals
  • Climate action
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