MCL algorithm applied to localize a simulated robot using ROS nodes
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Updated
Jan 28, 2020 - CMake
MCL algorithm applied to localize a simulated robot using ROS nodes
localization and navigation system based on ROS
Where Am I? (project 3 of 5 from Udacity Robotics Software Engineer Nanodegree)
Udacity Robotics Software Engineer Nanodegree Projects
Implementation of the Monte Carlo localization algorithm.
Perfomance tests for ROS MCL implementations
Udacity's Robotics Software Engineer Nanodegree Project 3: Where Am I?
Particle Filter Project (Kidnapped Vehicle)
Robot Localization simulated on Gazebo using AMCL ROS Package with a Custom Robot and a Custom Gazebo world.
Robotics Software Engineer Nanodegree Final Project
This project utilizes QCML amcl ros package to perform particle filter localization of a customized robot on a maze world.
Simulation of Monte Carlo Localization algorithm in ROS, in conjunction with sensor data and a map of the world, to estimate a mobile robot’s position and orientation
Project 3: Where Am I (AMCL)
Localization in a static map, planning in a local map.
Udacity Robotics Software Engineer Nanodegree Term 2 Localization Project
A mobile service robot, capable of localization, mapping and navigating an unknown environment.
Gettysburg College cs371 group project
IMPLEMENTAÇÃO DE UM ALGORITMO DE LOCALIZAÇÃO DE ROBÔS MÓVEIS
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