A set of launch files and configuration files for Plymouth University's Pepper robot
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Updated
Oct 4, 2016 - CMake
A set of launch files and configuration files for Plymouth University's Pepper robot
Autonomous localization project. This project utilizes ROS packages to accurately localize a mobile robot inside a provided map in the Gazebo and RViz simulation environments. The project used the AMCL and the Navigation Stack in ROS.
ROS implementation of the iRobot Create 2
A Udacity student project to solve localization problem using ROS AMCL & Navigation Stack
MCL algorithm applied to localize a simulated robot using ROS nodes
Apply ROS AMCL package to accurately localize a mobile robot inside a map in the Gazebo simulation environment.
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.
Udacity Robotics Nanodegree - Project3 - AMCL Localization - Where Am I?
Localization in a static map, planning in a local map.
Project 3 - Udacity Robotics Software Engineer Nanodegree Program
Utilized ROS AMCL package to accurately localize a differential-drive robot inside a map in the Gazebo simulation environments and avoided obstacles using DWA local planner.
Autonomous Mobile Robot Project
2. Mapping with Hector SLAM, GMapping and RTAB-Map
ROS Package for Autonomous Navigation for Differential drive robots
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