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.
Matlab code for ideal and noisy 2D velocity motion models
Implementation "learn intrinsic parameter" pseudocode in Probabilistic robotics (Chapter 6.3.2)
Simultaneous Localization and Mapping based on Rao-Blackwellized Particle Filter 🗺️
Assignments for the Probabilistic Robotics course at UvA
A WebGL-based motion planning visualizer
Pair assignment for the Probabilistic Robotics course at UvA
Particle Filter Localization for a Differential Drive Robot using LiDAR scans in a 2D Occupancy Grid
This repository contains the explanation and implementation(in C++) of The Kalman Filter Algorithm for Robot's pose localization.
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
Autonomous Robotics
A solver for motion planning problems
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