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
very simple example for particles filter
Assignments for the Probabilistic Robotics course at UvA
Using a particle filter to localize a vehicle
Pair assignment for the Probabilistic Robotics course at UvA
Notebooks about object motion and localization from the Udacity Computer Vision Nanodegree.
My solutions to Thrun et al.'s Probabilistic Robotics end of chapter questions.
This repository contains the explanation and implementation(in C++) of The Kalman Filter Algorithm for Robot's pose localization.
Autonomous Robotics
Project for Probabilistic Robotics: Underactuated Robots, Univ. La Sapienza Roma, 2020.
Experimental fastslam algorithm web application.
Simultaneous Localization and Mapping based on Rao-Blackwellized Particle Filter 🗺️
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
This is a webots project implementing a controller for e-puck robot that localizes itself with particle filter method
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