Discover Ned, our new 6-axis collaborative robot!
Discover Ned, our new 6-axis collaborative robot based on open-source technologies designed for Education, Vocational Training and Research.
We want to democratize robotics.
With the Niryo One, many schools have been able to offer their students to learn Robotics and industry 4.0 directly with a 6-axis robot, open-source and similar in design to industrial robots. The Niryo One is also used in many Research & Development laboratories to test new uses of collaborative robotics.
Meet now its successor, Ned, which has many improvements.
Ned is designed to reproduce all the movements required for the most advanced uses with a precision and a repeatability of 0,5mm.
Ned’s aluminium structure makes it exemplary robust and smooth, allowing it to accomplish with fluidity the required movements for your robotics projects.
This cobot takes advantage of the capacities of the Raspberry Pi 4, with a 64-bit ARM V8 high performance processor, 2Gb of RAM, and an improved connectivity.
ARM V8 1.5 GHz 2 Gb RAM LPDDR4 USB 3.0 until 5 Gb/s
WIFI 5 802.11 g/g/n/ac Bluetooth 5.0 Low Energy
Ned is a collaborative robot based on Ubuntu 18.04 and ROS (Robot Operating System) Melodic, an open-source solution created for robotics. Through ROS, Ned has multiple libraries allowing you to conceive many programs from the most simple to the most complex ones, responding then, in a flexible way, to your needs.
Using Ned for Education and Research means having a collaborative robot with uses faithful to the industrial reality:
- Use a visual programmation method for the simplest processes (Blockly, similar to Scratch),
- Create your own programs allowing you to create complex processes, such as programs made for multirobot or needing the use of artificial intelligence for the vision.
- Prototype complete industrial scenarios such as "pick & place" (pick up an object to move it), "pick & pack" (take an object and insert it in a packaging)…
Ned perfectly fits into our ecosystem designed for industry 4.0:
- The Conveyor Belt allows you to prototype production lines and can be controlled with the robot or autonomously.
- The Vision Set and its on-wrist camera will give Ned the ability to interact with its environment with image recognition. Set your workspace and use industry 4.0. advanced image processing functions.
With our EasyConnect system, changing tools has never been so easy.
Ned is supplied with a custom gripper, which allows you to handle a lot of different objects.
We also propose different accessories to allow the cobot to handle more objects:
How control Ned?
- Turn on Ned's learning mode to position it manually and teach it positions to reproduce. Control Ned can be as easy as pressing a button.
- With Niryo Studio, our free desktop application, use blocks to create your own roboctic programs. Based on Blockly (similar to Scratch), our visual programming interface allows you to quickly and easily create robotic programs without any prior programming knowledge.
- Use an Arduino or a Raspberry Pi to control Ned through its digital inputs and outputs (tutorial).
- Advanced Users : develop your own controller (use a computer mouse, a keyboard, a game controller or Leap Motion to control Ned according to your preferences and needs), use our API (Python, Modbus, TCP) to control Ned directly or remotely, or dive directly into the ROS code, which is open-source.
Number of axis 6
Weight 6,5 kg
Payload 300 g
Max Reach 440 mm
Precision 0,5 mm*
Repeatability 0,5 mm*
Power Supply 11.1 Volts / 6A
Communication Ethernet 1 Gb/s
WIFI 2,4GHz & 5GHz – 802.11 g/g/n/ac – (~31 dBm, <80dBm)
Bluetooth 5.0 BLE
Interface/Programming Windows/MacOS/Linux (desktop application) & APIs
Power consumption ~ 60 W
Materials Aluminum, PLA (3D printing)
Ports 1 Ethernet + 2 USB 3.0 + 2 USB 2.0
Hardware Raspberry pi 4
+ 3 x NiryoSteppers
+ 2 x Dynamixel XL – 430
+ 1 x Dynamixel XL – 320
Collision detection sensor Magnetic sensor (on motor)
*Ned is a robot primarily made for educational purposes, and testing of small assembly lines. We do not guarantee any precision and robustness over time for your application.