Robotics Project 2, Politecnico di Milano, A. Y. 2021/22, Computer Science and Engineering
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Updated
Mar 20, 2023 - CMake
Robotics Project 2, Politecnico di Milano, A. Y. 2021/22, Computer Science and Engineering
Submission for Project 3 of Udacity Robotics Nanodegree: Implement Adaptive Monte Carlo Localisation (AMCL) C++ algorithm to localise a robot in a pre-generated map.
Final project of the Udacity's Robotics Software Engineer Nanodegree.
This project aims to simulate a mobile robot used to transport sensible material
Localizing Robot inside a map using ROS amcl.
Perfomance tests for ROS MCL implementations
ROS AMCL node that includes an additional detector node that processes visual landmarks to improve robot localization in indoor environments
Project for the Robotics course (Politecnico di Milano AA 2016/2017)
An autonomous home service robot that can autonomously map an environment, and navigate to pickup and deliver objects. Capstone for Udacity Robotics Nanodegree Incorporates and requires implementation of all Mapping, Localization and Path Planning skills learnt from each navigation project.
Udacity Robotics Home Service Robot Project
Turtlebot driven indoor pick up and place robot based on Adaptive Monte Carlo Localization and Gmapping algorithms.
Robot Operating System (ROS) source code for a mobile robot that can carry out navigation and path planning
Localization in a static map, planning in a local map.
Project 3: Where Am I (AMCL)
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