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Probabilistic robotics
Book • 2005
Probabilistic Robotics is a comprehensive guide to the field of probabilistic robotics, which addresses the challenges of uncertainty in robot perception and control.
The book provides a wealth of techniques and algorithms based on a unified mathematical foundation, making it essential for researchers and developers in robotics.
It covers topics such as recursive state estimation, Gaussian filters, localization, mapping, and planning, offering detailed mathematical derivations and practical examples.
The book provides a wealth of techniques and algorithms based on a unified mathematical foundation, making it essential for researchers and developers in robotics.
It covers topics such as recursive state estimation, Gaussian filters, localization, mapping, and planning, offering detailed mathematical derivations and practical examples.
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Mentioned in 1 episodes
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as a book he authored on robotics.

Sebastian Thrun

Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education