autonomous-navigation

Python sample codes for robotics algorithms.

A Robust and Efficient Trajectory Planner for Quadrotors

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

3D Trajectory Planner in Unknown Environments

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

An Efficient Framework for Fast UAV Exploration

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

Simulation of 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.

All Terrain Autonomous Quadruped

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 visual marker localization and Ewok for trajectoy planning with collision avoidance.

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

An autonomous vehicle written in python

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

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

UG Project 2019-20.

[ICLR 2020] Learning to Move with Affordance Maps 🗺️🤖💨

Final year project, autonomus indoor drone developed in ROS using DWM1001 dev-board

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 cope with robot deviations. The planning system allowed Cassie Blue to autonomously traverse sinusoidally varying terrain. More experiments are still being conducted and this repo and the paper will be updated accordingly.