ugv

ArduPlane, ArduCopter, ArduRover, ArduSub source

PX4 Autopilot Software

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

Project AirSim is Microsoft's evolution of AirSim, an advanced simulation platform for building, training, and testing autonomous systems in high-fidelity virtual environments

Shenzhen MSU-BIT University PolarBear Team's Sentry Navigation Sim2Real Package for RoboMaster2025. QQ group: 932119307

ROS client library for the Go programming language

flexible and efficient Mavlink router

Mavlink library (2.0 and 1.0) for the Go programming language

[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).

🐆 Panther is an Open Robotic AGV platform ROS based for Outdoor and Indoor enviroments.

ROS nodes for outdoor SLAM on a ground robot

Physical simulation of Marsupial UAV-UGV Systems Connected by a Variable-Length Hanging Tether

Slamtec RPLIDAR Lidar SLAM A1 A2 S3 S1 S2 S2L MapperM2 support Mapping navigation for ROS robot

MineInsight: A Multi-spectral Dataset for Humanitarian Demining Robotics in Off-Road Environments

My Diploma Thesis on ArDrone 2.0 and Turtlebot2 collaboration for efficient exploration of unknown space.

Modeling, Planning and Nonlinear Control Techniques For Autonomous Vehicles 🎛️🚘

Alfred is an open-source UGV platform built at IIIT-Delhi capable of emulating a full self-driving vehicle. Alfred is equipped with Intel NUC 12 Pro, NVIDIA AGX Orin, Intel Realsense D455, and Velodyne VLP-16 LiDAR, facilitating comprehensive evaluations and development state-of-the-art algorithms for mobile robotics.

This project involves an autonomous indoor navigation system for a UGV using the ROS 2 Navigation Stack. It integrates SLAM, AMCL localization, global path planning with A*, and local obstacle avoidance via a Model Predictive Path Integral controller. LiDAR handles mapping and navigation, while a depth camera aids in close-range obstacle detection,

Multi Robot System developed for ROS2 Humble, allows the easy incorporation of several robot models with little configuration. There is no limit on the number of robots, if you incorporate UGV you can provide your parameter file for autonomous navigation.

Solutions to ETHZ ROS course exercises