Probabilistic robotics

  • Authors:
  • Sebastian Thrun

  • Affiliations:
  • School of Computer Science of Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • Communications of the ACM - Robots: intelligence, versatility, adaptivity
  • Year:
  • 2002

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Abstract

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