Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

Collection of best practices for working with Docker/Docker-Compose and the Robot Operating System (ROS/ROS 2) in simulation as well as with hardware and real-time requirements

Python implementation of a bunch of multi-robot path-planning algorithms.

This package provides a Python class to help writing ROS 2 launch files.

A collection of useful datasets for robotics and computer vision

A collection of docker environments for 3D SLAM packages

The Robot Operating System Version 2.0 is awesome!

😎 A curated list of robotics libraries and software

A curated list of awesome links and software libraries that are useful for robots.

A list of awesome Robotics resources

The tight integration of FAST-LIO with Radius-Search-based loop closure module.

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO application and …

LiDAR SLAM = FAST-LIO + Scan Context, ported to ros2

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

ROS2 package of 3D lidar slam using ndt/gicp registration and pose-optimization

Path Tracking PID offers a tuneable PID control loop, decouling steering and forward velocity

An Event-Driven, Asynchronous, Behavioral State Machine Library for ROS2 (Robotic Operating System) applications written in C++

A LiDAR odometry pipeline that just works

🔎 🚘 🚛 🚶 🚲 3D objects detections in LIDAR point clouds for autonomous driving

Python sample codes for robotics algorithms.

LiDAR SLAM = FAST-LIO + Scan Context

Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels

ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization