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.
Implementation "learn intrinsic parameter" pseudocode in Probabilistic robotics (Chapter 6.3.2)
Simultaneous Localization and Mapping based on Rao-Blackwellized Particle Filter 🗺️
Autonomous Occupancy Probability Mapping Mission Robot Code with Webots and ROS2.
Autonomous mobile robotics algorithms.
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.
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