Excercises and examples from the Probabilistic Robotics book by Thrun, Burgard, and Fox.
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Updated
Dec 19, 2019 - Python
Excercises and examples from the Probabilistic Robotics book by Thrun, Burgard, and Fox.
Simultaneous Localization and Mapping based on Rao-Blackwellized Particle Filter 🗺️
Implementation "learn intrinsic parameter" pseudocode in Probabilistic robotics (Chapter 6.3.2)
SLAM system using Total Least Square algorithm to determine the trajectory of a robot moving in a given environment
This ROS2 package aims to demonstrate how the Particle Filter or Monte Carlo Localization is implemented in a real robot in a simulation world.
Autonomous mobile robotics algorithms.
Autonomous Occupancy Probability Mapping Mission Robot Code with Webots and ROS2.
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