About the Niryo Ned 2
The Niryo Ned 2 is an open-source 6-axis collaborative robot designed from the ground up for education, research, and vocational training in robotics and Industry 4.0. Built in France around 3D-printed structural parts and standard components, it embodies transparency: students can study, modify, and extend both its hardware and its ROS-based software stack. The Ned 2 offers a 300-gram payload, a reach suited to desktop workcells, and repeatability appropriate for training applications, paired with NiryoStudio’s visual programming and full Python and ROS APIs for advanced users. An ecosystem of accessories, including a vision set with camera, conveyor belt, grippers, vacuum tool, and electromagnetic gripper, enables complete production-line simulations where the robot identifies, picks, and sorts objects autonomously. Universities and technical schools use Ned 2 to teach everything from basic kinematics to ROS2 development, digital twins, and smart-factory integration. For institutions committed to open technology and deep learning rather than black-box demonstrations, the Ned 2 is a uniquely honest and capable teaching platform.
Key Specifications
- Open-source hardware and software
- 6-axis collaborative desktop design
- 300 g payload training scale
- NiryoStudio visual programming
- Full Python and ROS2 APIs
- Vision set and conveyor ecosystem
- 3D-printed modifiable structure
- Designed for Industry 4.0 curricula
Industry 4.0 Training Programs
Technical colleges build complete smart-factory courses around the Ned 2, combining its vision set, conveyor, and IO capabilities into miniature production lines. Students learn robot programming, image processing, sensor logic, and system integration as one connected discipline. The open architecture lets instructors expose every layer, from motor control to cloud dashboards, producing graduates who understand modern manufacturing systems end to end.
ROS2 Development Education
Universities use the Ned 2 as a physical platform for teaching ROS2, the framework dominating modern robotics development. Students write nodes, manage topics and services, and run motion planning through standard tools, seeing their code move a real robot rather than a simulation. Because the platform is open source, advanced learners can inspect and modify the robot’s own ROS stack itself.
Vision-Guided Sorting Projects
Engineering courses use the Ned 2 vision set for projects in camera calibration, object detection, and grasp planning. Students build complete pipelines that identify objects on the conveyor by shape or color and sort them into bins. These projects teach the practical realities of industrial vision, including lighting, calibration drift, and error handling, at classroom scale.
Research In Open Robotics
Research groups choose the Ned 2 when their work requires modifying the robot itself, whether adapting joint mechanics, testing new control algorithms, or studying human-robot interaction. Open CAD files, firmware, and software remove licensing barriers to deep experimentation, and published research built on Niryo hardware forms a growing, reproducible knowledge base.
Frequently Asked Questions
Is the Ned 2 truly open source?
Yes, Niryo publishes the Ned 2’s software stack, CAD files, and documentation openly. Students and researchers can study how the robot works at every level, modify the design, 3D print replacement parts, and adapt the control software, making it exceptional for deep technical education.
What payload does it support?
The Ned 2 carries up to 300 grams, sized for teaching objects, small tools, and demonstration workpieces. This scale is deliberate: it keeps the robot safe, affordable, and desktop-friendly while still allowing realistic pick, place, and sorting exercises with its accessory ecosystem.
Can it work with ROS2?
Yes, the Ned 2 provides full ROS2 support with documented packages. Students can use standard tools for motion planning, visualization, and control, and because the stack is open, they can inspect and learn from the robot’s own implementation, a rare opportunity in educational hardware.
What accessories are available?
The ecosystem includes a vision set with camera and markers, a conveyor belt, multiple grippers, a vacuum tool, and an electromagnet. Together they enable complete pick-and-sort production lines, giving courses the hardware needed for realistic Industry 4.0 demonstrations.
Who is the Ned 2 designed for?
The Ned 2 targets universities, technical colleges, vocational schools, and research labs teaching robotics, automation, and Industry 4.0. Its combination of visual programming for beginners and full ROS access for advanced users lets one platform serve multiple course levels.
How difficult is setup and maintenance?
Setup is straightforward, typically under an hour from unboxing to first motion, with calibration guided by the software. The 3D-printed construction makes many parts user-replaceable, and Niryo provides documentation and support for routine maintenance in educational environments.
Does it support visual programming?
Yes, NiryoStudio includes Blockly-based visual programming so beginners create working robot programs immediately. As skills grow, the same projects can be rebuilt in Python, providing a natural learning progression without changing hardware or software platforms.
What makes it different from competitors?
The Ned 2’s genuine open-source philosophy distinguishes it: students can study and modify the entire system rather than treating it as a sealed product. Combined with its ROS-native design and production-line accessories, it teaches how robots actually work, not just how to operate them.
