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Yunlong Guo's Projects

ariadne icon ariadne

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

cerlab-uav-autonomy icon cerlab-uav-autonomy

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

ego-planner-v2 icon ego-planner-v2

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

fast-planner icon fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

fiesta icon fiesta

Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

fuel icon fuel

An Efficient Framework for Fast UAV Exploration

gazebo_models icon gazebo_models

Gazebo database of SDF models. This is a predecessor to https://app.gazebosim.org

gnn-motion-planning icon gnn-motion-planning

The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gpt_academic icon gpt_academic

为ChatGPT/GLM提供图形交互界面,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

hetgppo icon hetgppo

Heterogeneous Multi-Robot Reinforcement Learning

high_mpc icon high_mpc

Policy Search for Model Predictive Control with Application to Agile Drone Flight

lio-drone-250 icon lio-drone-250

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.

mapf_ros icon mapf_ros

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

multi-agent_pickup_and_delivery icon multi-agent_pickup_and_delivery

Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path Finding).

multi-robot-exploration-rrt-rl icon multi-robot-exploration-rrt-rl

Design and simulation verification of multi-robot collaborative exploration algorithm based on reinforcement learning. In the simulation environment of ROS-Gazebo, multiple robots explore closed rooms and build maps (SLAM).

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