articleTop 10% cited
Probabilistic robotics
Communications of the ACM · 2002 · Vol. 45(3) · pp. 52–57
Sebastian Thrun✉(Carnegie Mellon University)
Abstract
Planning and navigation algorithms exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.
Robotic Path Planning AlgorithmsAI-based Problem Solving and PlanningRobotics and Sensor-Based LocalizationArtificial intelligenceRoboticsComputer scienceProbabilistic logicRobot
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References
The EM Algorithm and Extensions
Technometrics · 1998 · 5,109 citations
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