Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU

Universal grid map library for mobile robotic mapping

The purpose of the project is to implement algorithm of bubble rebound in order to realize obstacle avoidance robot in Coppeliasim (VREP) through ROS.

Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

Example robots and code for interfacing Gazebo with ROS

A* algorithm with dynamic window implemented as move_base plugins for ROS.

A 2-D/3-DOF seamless global/local mobile robot motion planner package for ROS

This project contains A* path planning algorithm implementation for Turtlebot3. Libraries of Robot operating system have been used for implementation

ROS node to interface with path planner

An implementation of a mobile robot path planner in Python and ROS