myCobot-Intelligent warehouse kit
myCobot artificial intelligence kit is an entry-level artificial intelligence suit 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.
Raspberry pi robotic arm kit has good scalability and high openness and can be used for multiple purposes. The suit is easy to use the training platform of colleges and universities, the construction of robotics disciplines, the robotics laboratory or personal learning and use.
Features
Eye-in-Hand
Aruco code detection and tracking: precise positioning and calibration of the camera, and automatic capture
Eye-to-Hand
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)
OpenCV
Python programming
Inverse kinematics
Control principle of
robotic arm
Machine Vision
Use of End effector
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.
Kit Components
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
Installation Tutorials & Product Parameter
| Vision modules | |
| Name | USB distortion-free lens |
| Size | 18X18X20mm |
| Maximum pixels | 1 megapixel 1280X720 |
| Image format support | YUV、MJPEG |
| Pixel size | 3.4umX3.4um |
| Maximum frame rate | 1280x720 @ 25fps |
| USB protocol | USB2.0 HS/FS |
| Resolution | 1280X720,640X480,320X240 |
| Power input | DC5V 90mA |
| Field of view | Approx. 60° |
| Lens focal length | 1.7mm |
| Systems supported | Win7/8/10、Linux、MacOS |
