Product Overview
The myCobot 280 Jetson Nano uses the NVIDIA® Jetson Nano™ core board as its primary controller and comes pre-installed with a customized Ubuntu Mate 20.04 LTS operating system. Because it functions as a standalone system, it eliminates the need for an external PC—simply connect a monitor, keyboard, and mouse to start operating.
It serves as an ideal platform for learning six-axis robotic arm controls, machine vision, control logic development, and ROS simulation experiments. As part of the broader myCobot 280 series, over 10,000 units have been sold across 50+ countries.
Key Applications & Functions
- Easy Entry to Vision Applications: Features powerful image processing capabilities via the NVIDIA Jetson Nano. It comes standard with an end-mounted 2D camera module, making "eye-in-hand" computer vision projects straightforward.
- Simple & Fast System Development: Integrated with an Ubuntu Mate 20.04 operating system and pre-loaded with development environments like myBlockly, Python, and ROS 1/2.
- Creative Development: Offers over 90 control interfaces and cutting-edge algorithms to deliver a realistic industrial robot programming experience in an accessible form factor.
- Commercial Exploration: Supports integration with PCs, industrial computers, and embedded devices. Combined with over 10 expansion accessories, it can perform complex tasks suitable for commercial exhibitions.
- Compound Robotics (myAGV Integration): Pairs seamlessly with the myAGV mobile chassis to enable advanced research in SLAM mapping, autonomous navigation, 6-axis robot control, device communication, and visual recognition.
Technical Specifications & Parameters
- Working Radius: 280 mm
- Payload: 250 g
- Main Controller: NVIDIA® Jetson Nano™ Core Board
- Operating System: Ubuntu Mate 20.04 LTS
- Ecosystem & Mounting: LEGO-compatible mounting integration
- Vision Hardware: Built-in 2D Camera Module
- Connectivity & Interfaces: HDMI, Grove Interface, USB
Software, Programming & Control Options
The platform features fully open software and hardware development interfaces, providing high-performance capabilities for AI applications like item sorting, face recognition, and OpenCV-based image tracking.
Programming Support
- Languages & Libraries: Python, OpenCV, and more
- Operating System: Ubuntu Mate 20.04 LTS
- ROS Support: Native multi-version support for ROS 1 and ROS 2, including pre-configured RViZ and MoveIt demonstration cases for deep development.
Control Methods & Software Tools
- myBlockly: Visual, block-based programming language for rapid learning.
- Practical Teaching: Features built-in "Drag & Teach" functionality.
- Open Interfaces: Offers over 90 control interfaces for custom software scripts.
Official Management Tool: myStudio
myStudio serves as the primary one-stop software platform for myCobot. It handles:
- Firmware updates
- Video tutorial access
- Maintenance, repair guides, and Q&A resources
Compatible Accessories
Enhance functionality with dozens of add-ons:
- Grippers & Hands: Adaptive Gripper, Parallel Gripper, Flexible Gripper, Dexterous Hand
- Suction Systems: Vertical Suction Pump, Dual Vacuum Gripper
- Mounting & Bases: Flat Base, G Base, Cylindrical Flange, Camera Flange
- Utility Holders: Pen Holder, Mobile Phone Holder, Camera Module
Example Use Cases
- Visual recognition and tracking under ROS
- Pick-and-place tasks (e.g., picking up gifts or items from a microwave)
- Musical and artistic performance (e.g., playing the piano, ringing a bell, dancing)
- Interactive demonstration routines
