ROS Package for Autonomous Navigation for Differential drive robots
Navigate multiple robots in simulation using this code.
A set of launch files and configuration files for Plymouth University's Pepper robot
2. Mapping with Hector SLAM, GMapping and RTAB-Map
Simulation of a differential drive robot which can perform autonomous navigation.
Udacity's Robotics Software Engineer Nanodegree Final Project: Home Service Robot
Autonomous Mobile Robot (AMR), a holonomic drive with 4 mecanum-wheels. It autonomously maps an environment, localizes itself, and navigate to pick-up and drop-off objects in a simulated environment.
4. Navigation with move_base and advnced planners, waypoints navigation
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.
Designed a mobile robot controlled using Raspberry Pi. Used hector mapping and AMCL to map the environment and localize the robot. Dijkstra Algorithm was used to autonomously navigate the robot.
ROS Navigation course from Robot Ignite Academy
Project 3 - Udacity Robotics Software Engineer Nanodegree Program
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.
Localization in a static map, planning in a local map.
Robot Operating System (ROS) source code for a mobile robot that can carry out navigation and path planning
The objective is to navigate to a pick-up location to retrieve a virtual object, and then proceed to a designated drop-off zone to place it.
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