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
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.
IMPLEMENTAÇÃO DE UM ALGORITMO DE LOCALIZAÇÃO DE ROBÔS MÓVEIS
Localization in a static map, planning in a local map.
Perfomance tests for ROS MCL implementations
Monte Carlo Localization using Particle Filtering
This project utilizes QCML amcl ros package to perform particle filter localization of a customized robot on a maze world.
Particle Filter Project (Kidnapped Vehicle)
Robot Localization simulated on Gazebo using AMCL ROS Package with a Custom Robot and a Custom Gazebo world.
A mobile service robot, capable of localization, mapping and navigating an unknown environment.
Robotics Software Engineer Nanodegree Final Project
Udacity's Robotics Software Engineer Nanodegree Project 3: Where Am I?
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
Robot Localization for autumn heroehscup (Humanoid)
C++ implementation of Monte-Carlo Localization
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