Probabilistic Algorithms in Robotics
Autonomous robots must act in the face of uncertainty—a direct consequence of their inability to know what is the case. When making decisions, probabilistic approaches take the robot’s uncertainty into account. Some consider only the robot’s current uncertainty, others anticipate
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Robotic Mapping: A Survey - Sebastian Thrun
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robots.stanford.eduFastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem Michael Montemerlo and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 mmde@cs.cmu.edu, thrun@cs.cmu.edu Daphne Koller and Ben Wegbreit Computer Science Department Stanford University Stanford, CA 94305-9010
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