myCobot 320-Pi

1 Profile

myCobot 320-Pi belongs to myCobot 320 series of products. It adopts a Raspberry Pi microprocessor and is embedded with roboFlow visual programming software. It acts as a machine \"helper\" developed by Elephant Robotics. The body weights 3kg with a load of 1kg and a working radius of 320 mm. The product is small-sized but powerful in function. It is characterized by easy operation and the ability to work with human safely. It features three advantages of usability, safety and economy, making it a cost-effective product.

2 Product Parameters

1) Robot Arm Parameters

2) Electronic parameters

3) Software platform

4) Work Scope

3 Pin

• OUT 24V 17 27 22 05 06 19 GND

• IN 24V 26 21 20 16 24 23 GND

4 Product Performance

• Embedded Raspberry Pi ecology and unlimited possibilities

  • Raspberry Pi 4B, 1.5GHz quad-core microprocessor, running with Debian/Ubuntu platform.
  • Supporting 4-way USB, 2-way HDMI, standardized GPIO interface, and a pluggable TF card.

• Unique industrial design

  • With all-in-one design, the product has a compact body structure, and the net weight is only 3kg.
  • With a modular design, the product is characterized by less spare parts, low maintenance cost, quick disassembly and replacement.

• Easy to operate and open-source

  • The users can operate the product in a short time through drag teaching.
  • It supports ROS/moveIt and other development systems and roboflow, an operating software independently developed by Elephant Robotics.

• High configuration and powerful performance

  • Because a brushless DC servo is used, a repeated positioning precision of ±0.5mm can be obtained.
  • Being equipped with installation interfaces, the base and end are suitable for the development of various periphery devices.

• Economical and super cost-effective

  • It adopts a standard 8-hour working system and can take the place of human to do highly repetitive and standard jobs.
  • As a robot arm with a price at ten thousand yuan level, it can effectively reduce costs and increase efficiency for the universities and enterprises needing high performance and low cost.

• Integrated design and safe collaborative work

  • The structure elaborately designed makes the product possible to make full use of space and to perfectly integrate the product into the actual environment.
  • It also has kinematics self-interference detection, which can effectively avoid motion collisions.

5 Application Scenarios

Like myCobot 320-M5, myCobot 320-Pi is not only a productivity tool but also an expanding tool for imagination boundary. It can be provided with multiple types of end effectors to adapt to many application scenarios, such as scientific research, education, display, etc. The user experience is excellent.

6 Development Support

• 3 Quick learning of robot arm knowledge
  • 3.1 Serial robot
  • 3.2 Electronic background knowledge
  • 3.3 Mechanics background knowledge
  • 3.4 Knowledge of motor and servo
• 4 Basic function application
  • 4.1 myStudio
    • 4.1.1 Installing driver
    • 4.1.2 Updating equipment firmware
  • 4.2 Factory firmware introduction
    • 4.2.1 Drag teaching
      • 4.2.1.2 Microprocessor class
    • 4.2.2 Zero point calibration
      • 4.2.2.2 Microprocessor class
    • 4.2.3 Communication forwarding
      • 4.2.3.2 Microprocessor class
    • 4.2.4 Connection Detection
      • 4.2.4.2 Microprocessor class
  • 4.3 Use for the first time
• 5 Blockly Development Guide
  • 5.1 myblockly
    • 5.1.1 Controlling the RGB light board
    • 5.1.2 Controlling the robot arm to make it return to the origin
    • 5.1.3 Controlling single-joint motion
    • 5.1.4 Controlling multiple joints
    • 5.1.5 Controlling the robot arm to make it sway left and right
    • 5.1.6 Controlling the robot arm to make it dance
    • 5.1.7 Gripper installation and use
    • 5.1.8 Installation and use of sucking pump
• 6 Roboflow Development Guide
  • 6.1 Environment building
  • 6.2 Simple use
  • 6.3 Joint control & coordinate control
  • 6.4 IO control
  • 6.5 Gripper control
  • 6.6 MODBUS
• 7 Python Development Guide
  • 7.1 Environment building
  • 7.2 Joint control
  • 7.3 Coordinate control
  • 7.4 IO control
  • 7.5 Gripper control
  • 7.6 TCPIP
  • 7.7 Use cases
  • 7.8 API Description
• 12 ROS Development Guide
  • 12.1 Introduction
  • 12.2 Environment building
  • 12.3 ROS Basics
  • 12.4 Introduction and use of rviz
  • 12.5 moveit
• 13 Use of senior packages
  • 13.1 Introduction
  • 13.2 Environment
  • 13.3 Knowledge preparations
  • 13.4 Color recognition
  • 13.5 Image recognition
  • 13.6 Aruco code recognition
• 14 FAQ
  • 14.0 How to ask questions gracefully
  • 14.1 Driver-related
  • 14.2 Software
  • 14.3 Hardware