siemens/ros-sharp

ROS# is a set of open source software libraries and tools in C# for communicating with ROS from .NET applications, in particular Unity3D

What it solves

ROS# is designed to bridge the gap between the Robot Operating System (ROS) Robot Operating System (ROS) and the .NET ecosystem, specifically for developers using Unity. It allows .NET applications to communicate with ROS nodes, enabling the system to be used for robotics simulations, automation systems, and the development of robotics applications.

How it works

The project provides a set of C# libraries and tools that enable .NET applications to communicate with ROS via websockets. It includes a core library for communication, tools for generating C# classes from ROS message definitions (supporting both ROS1 and ROS2), and a library for parsing URDF files to create Unity GameObjects.

Who it’s for

Developers working with robotics who use the .NET ecosystem or the Unity Engine to create simulations or automation systems that need to integrate with ROS.

Highlights

  • own .NET 8 or .NET Standard 2.1 support
  • Integration with Unity via the Unity Package Manager (UPM)
  • Support for ROS1 and ROS2 message generation
  • URDF parsing capabilities for creating Unity GameObjects

Related

  • Project
    TJU-Aerial-Robotics/YOPO

    A learning-based one-stage planner for autonomous drones that integrates perception and trajectory optimization into a single network for agile navigation in dense obstacles.

  • Project
    FarmBot/farmbot_os

    FarmBot OS is the operating system for FarmBot devices, enabling the automated operation of the core hardware.

  • Project
    SJTU-ViSYS/M2DGR

    M2DGR is a large-scale, multi-modal SLAM dataset for ground robots featuring rich sensory data and challenging real-world scenarios to benchmark navigation algorithms.

  • Project
    dartsim/dart

    DART (Dynamic Animation and Robotics Toolkit) is an open‑source physics engine for robotics, animation, and ML‑driven simulation. It offers research‑grade dynamics via Featherstone’s algorithm, supports URDF/SDF/MJCF model loading, and provides C++ and Python APIs. Stable DART 6 is production‑ready; DART 7 is an experimental redesign. Install via Conda, PyPI, or source builds with `pixi`.