solution of exercises of the book "probabilistic robotics"
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Updated
May 18, 2023 - C++
solution of exercises of the book "probabilistic robotics"
《概率机器人》课后习题详解。Detailed Solutions for exercises of book "Probabilistic Robotics" in both English & Chinese.
Probabilistic line extraction from 2-D range scan
Solutions to assignments of Robot Mapping Course WS 2013/14
確率ロボティクスのアルゴリズム解説(こちらに最新・もっと正確なバージョンがあります->)
This ROS2 package aims to demonstrate how the Particle Filter or Monte Carlo Localization is implemented in a real robot in a simulation world.
SLAM system using Total Least Square algorithm to determine the trajectory of a robot moving in a given environment
Autonomous mobile robotics algorithms.
Monte Carlo Localization Simulator - Educational Tool for EL2320 Applied Estimation at KTH Stockholm
Sketch of low-level/low-resources graphic engine: Occupancy Grid Mapping for robot navigation tasks.
Using a particle filter to localize a vehicle
Autonomous Occupancy Probability Mapping Mission Robot Code with Webots and ROS2.
Project for Probabilistic Robotics: Underactuated Robots, Univ. La Sapienza Roma, 2020.
EKF Localization Simulator - Educational Tool for EL2320 Applied Estimation at KTH Stockholm
Experimental fastslam algorithm web application.
very simple example for particles filter
Notebooks about object motion and localization from the Udacity Computer Vision Nanodegree.
2D bearing-only SLAM with least squares
My solutions to Thrun et al.'s Probabilistic Robotics end of chapter questions.
This is a webots project implementing a controller for e-puck robot that localizes itself with particle filter method
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