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

"Decentralised Multi-Robot Exploration using Monte Carlo Tree Search", IROS 2023

[IROS 2023] Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization

LRAE: Large-Region-Aware Safe and Fast Autonomous Exploration of Ground Robots for Uneven Terrains

Code for the paper "Coordinated Multi-Agent Exploration, Rendezvous, & Task Allocation in Unknown Environments with Limited Connectivity"

"Fast Multi-UAV Decentralized Exploration of Forests", RAL 2023

Leveraging system development and robot deployment for aerial autonomous navigation.

FAEL: Fast Autonomous Exploration for Large-Scale Environments with a Mobile Robot

出处：https://github.com/jackfrued/Python-100-Days.git

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

植物大战僵尸

深蓝运动规划课程

Common used path planning algorithms with animations.

A package to provide plug-in for Livox Series LiDAR.

使用C++对Minimum Snap算法进行了实现，实现的结果超过了论文中给出的计算速度。并且实现了三维和二维的Minimum Snap轨迹生成算法

topic 学习 发布激光数据 tf

Noetic 或者 Melodic 下 运行 RRT_Exploration 方案

CVR-LSE: Compact Vectorized Representation of Local Static Environments for Reliable Obstacle Detection

使用C++对Minimum Snap算法进行了实现，实现的结果超过了论文中给出的计算速度。并且实现了三维和二维的Minimum Snap轨迹生成算法

A global planner plugin for ROS navigation stack, in which A* search on a discrete gneralized Voronoi diagram (GVD) is implemented.

A ROS costmap plugin for dynamicvoronoi presented by Boris Lau

使用teb跑car-like模型，注意加入livox，需要的话，结合livox 仓库功能包一起使用

livox gazebo 仿真插件

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