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
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->)
Solutions to assignments of Robot Mapping Course WS 2013/14
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.
2D bearing-only SLAM with least squares
Monte Carlo Localization Simulator - Educational Tool for EL2320 Applied Estimation at KTH Stockholm
A solver for motion planning problems
This is a webots project implementing a controller for e-puck robot that localizes itself with particle filter method
EKF Localization Simulator - Educational Tool for EL2320 Applied Estimation at KTH Stockholm
Particle Filter Localization for a Differential Drive Robot using LiDAR scans in a 2D Occupancy Grid
Implementation "learn intrinsic parameter" pseudocode in Probabilistic robotics (Chapter 6.3.2)
Sketch of low-level/low-resources graphic engine: Occupancy Grid Mapping for robot navigation tasks.
A WebGL-based motion planning visualizer
Experimental fastslam algorithm web application.
Simultaneous Localization and Mapping based on Rao-Blackwellized Particle Filter 🗺️
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