A python based light weight robot simulator for the intelligent robotics navigation and learning

Leveraging system development and robot deployment for ground-based autonomous navigation and exploration.

TARE Exploration Planner for Ground Vehicles

Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning

Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)

An Efficient Framework for Fast UAV Exploration

Graph Neural Networks for Decentralized Path Planning

Library with search algorithms for task and path planning for multi robot/agent systems

3D Multi-Robot Exploration, Patrolling and Navigation.

Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF,…

Leveraging system development and robot deployment for aerial autonomous navigation.

[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

[ICRA 2023] ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration - Public code and model

Community for applying LLMs to robotics and a robot simulator with ChatGPT integration

An efficient single/multi-agent trajectory planner for multicopters.

Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets - IROS23 public code and model

Must-read papers on graph neural networks (GNN)

This repository enables fully autonomous drone flight based on Mid360. It incorporates an odometry reference from Fast-LIO2 and a planning module reference from Ego-Planner.

IDE style command line auto complete

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging …

A platform for executing RRT exploration in ROS Noetic and Ubuntu 20.04LTS

Swarm Playground, the codebase of the paper "Swarm of micro flying robots in the wild"

Heterogeneous Multi-Robot Reinforcement Learning

ROS packages for Turtlebot3

毕业设计的代码部分，实现了UE4和airsim环境下无人机自主导航和目标跟踪的强化学习算法。

This is a multi-agent path planning(also known as Multi-Agent Path Finding, MAPF) algorithm package for ROS