MyCobot – Artificial Intelligence Kit



MyCobot artificial intelligence kit is an entry-level artificial intelligence suite integrating vision, positioning and grabbing, and automatic sorting modules. Based on the Linux system, build a 1:1 simulation model in ROS, which can realize the control of the robotic arm through the development of software. It is simple and easy to learn. It can quickly learn the basics of artificial intelligence, inspire innovative thinking, and comprehend the open-source creative culture.

The suit has good scalability and high openness and can be used for multiple purposes. It is easy to use the training platform of colleges and universities, the construction of robotics disciplines, the robotics laboratory, or personal learning and use.




Aruco code detection and tracking: precise positioning and calibration of the camera, and automatic capture.



Color and image recognition: Using deep learning algorithms, users can use robotic arms to complete positioning, grabbing, and automatic sorting.


What can you learn?

  • Ros
  • Opencv
  • Python programming
  • 6 DOF robot control principle
  • End-effector control
  • AI machine vision and artificial intelligence
  • LCD display control
  • Smart sensor detection (color, image, aruco code)


Rich teaching Demo, intuitive and efficient

With rich teaching demos such as color recognition, image recognition, and aruco code recognition, it helps users to understand the basic composition and working principle of the robot artificial intelligence vision kit more clearly and intuitively.


Artificial Intelligence Kit

  1. Material box
  2. Trash Bins
  3. Artificial intelligence kit_ Bottom Plate
  4. Material box stand
  5. Square (provide sticker)
  6. Suction Pump
  7. Vision module_ Base stand
  8. Vision module_ camera
  9. Vision module_ Camera flange
  10. Vision module_ Camera bracket
  11. Vision module_ Fibre tube
  12. Suction pump connecting line_ Power distribution
  13. Suction pump connecting line_ power cord
  14. Suction pump connecting line_ DuPont line


Product Parameter


Vision module                            

Name – USB non-distortion lens

Size – 18X18X20mm

Maximum pixels – 1 million 1280X720

Support image formats – YUV, MJPEG

Pixel size – 3.4umX3.4um

Maximum frame rate – 1280×720 @ 25fps


USB protocol    

Supported resolution – 1280X720, 640X480, 320X240

Power supply – DC5V 90mA

Lens focal length – standard 1.7mm

Field of view angle – ≈60°

Supported systems – Win7/8/10, Linux, MAC

USB protocol – USB2.0 HS/FS



Elephant Robotics