My Cobot 320
Product Name: myCobot 320
Product Line: Educational Robot
Color Options: White, Black
Product Weight: 3.36 kg
Maximum Payload: 1 kg
Exported from: China
Importer: Minh Tâm Automation
Working Radius: 350 mm
Payload: 1000 g
User-oriented 6-axis cobot
Open ROS simulation development environment, built-in kinematics forward and inverse solution algorithm
The whole series has been sold to 60+ countries around the world
with more than 5,000 units shipped
Start your intelligent manufacturing robot learning journey anytime, anywhere!
Classical black and white color
Creative Visual Development
myCobot 320 M5 is a free-to-match visual development application, intuitive structural analysis of mechanical motion principles, and enterprise-level communication protocol specifications and applications.
DIY your personal mechanical assistant
Equipped with up to 12 standard 24V industrial I/O interfaces, it can be expanded to develop PLC control independent programming, support mainstream control interfaces, and a wealth of terminal expansion accessories to help explore the boundaries of personal applications.
Parameters
350mm working radius, up to 1000g payload, 1MMRepeatability, to help you achieve your scene exploration needs.
Excellent Configuration
24V industrialized electrical interface, to complete your industrial scene development needs, key interaction, screen display, PLC interface, allowing you to quickly and safely build robotic arm application exploration scenarios.
OPEN-SOURCE INTERFACES
Based on different kinds of applications, open-source to its interfaces and enables to achieve objects recognition, facial recognition, image recognition etc.
Secondary Developments
Easily learn to program myCobot in your style and ready to start your robotics journey.
MyBlockly
Block-based visual programming languages, accessible official tutorials, help you learn it quickly.
Python demo
Built in dozens of application cases, fast landing, easy to use
ROS Supporting
Developing in ROS - the world's mainstream robot communication framework, you can control myPalletizer and conduct algorithm verificationin under a virtual environment, which reduces the requirements for the experimental environment and improves the experimental efficiency.
