Python sample codes for robotics algorithms.

A Robust and Efficient Trajectory Planner for Quadrotors

3D Trajectory Planner in Unknown Environments

An Efficient Framework for Fast UAV Exploration

Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments

KR (KumarRobotics) autonomous flight system for GPS-denied quadrotors

Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!

Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

An autonomous vehicle written in python

This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for …

All Terrain Autonomous Quadruped

ROS tutorial by Purdue SMART lab: Gazebo simulation - autonomous mobile robot navigation and creating custom robots and sensor plugins

Autonomous navigation for blind people

A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.

A robust UAV local planner based on the ICRA2020 paper: Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to release these ones as my own technical book for beginners.

UG Project 2019-20.

NUS ME5413 Autonomous Mobile Robotics Final Project

This package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to co…