Development Environment Construction

1 Use environment

myCobot 320 for Raspberry Pi version comes with Ubantu (V-18.04) system, built-in Python, myStudio, myBlockly, ROS, OpenCV and driver libraries, so there is no need to download development software and install development environment (additional Python libraries need to be installed depending on your needs). A monitor to connect the robotic arm is the only requirement for preparation.

2 Development Environment

myCobot 320 Raspberry Pi has a built-in development environment, which can be used directly. The followings are the development environments supported by the myCobot 320 for Raspberry Pi version.


  • 2.2 Development based onRoboFlow. RoboFlow is the operating system developed for the Elephant collaborative robots. It serves to provide a human-computer interaction interface and its functions include coordinate control, angle control, io control, trajectory recording, gripper control, etc. Since the RoboFlow operating system runs through the teach pendant, users can use the teach pendant as a carrier to manually operate the robot, program and perform other operations. After installing RoboFlow , refer to see simple use cases .



  • 2.8 Development based on ROS. ROS is open-source and is a post operating system, or secondary operating system, used for robot control. With the use of ROS, the simulation control of the manipulator can be realized in the virtual environment. The robotic arm can be visualized through the rviz platform, and operate the robotic arm in a variety of ways. It can also be used to plan and execute the robotic arm's action path through to freely control the robotic arm. After installing the ROS development environment , refer to use cases and use of moveit for more information.


3 Firmware Update

myCobot 320 for Raspberry Pi has built-in myStudio, which can be used directly.

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