Fruit Picking Cell (Mirobot) | AI Vision Touch Screen | WLKATA
Fruit Picking Cell (Mirobot) | AI Vision Touch Screen | WLKATA
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- Order will be shipped out from US warehouse in 1-3 business days once being processed.

What's in the Box
Shipping List:
1. Wlkata Mirobot Professional Kit X 1
2. VisionSoftGrip X 1
(AI Vision + Three-finger Soft Gripper End
Tool)
3. Production Cell Smart Base – Size Small X 1
4. Color Sensor Module X 1
5. Fruit Trees Kit X 1 (fruit tree stand, fruit
tree calibration stand, a pack of fruit models (including apples, oranges and pears), three baskets)
6. Main Control Box X 1
(based on Arduino MEGA
2560, installed on the bottom of the production cell smart base )
7. Touchscreen Module X 1
8. LED Lighted Infographic Panel with Stand X 1
9. Document and Educational Resource Kit X 1
(digital experiment handbook for educators, source code, digital installation handbook, PPT digital quick start guide, demonstration videos, installation videos )
Package:
Packakge 1: WLKATA Mirobot Professional Kit
X 1 : 5.6kg (12.3 lbs) , 375*335*290 mm (14.8*13.6*11.5 inch)
Package 2: Kit Box of WLKATA Mirobot Fruit
Picking Cell X 1: 1.1kg (2.4 lbs) , 350*195*115mm (13.8*7.7*4.5 inch)
Package 3: Production Cell Smart Base – Size
Small X 1:12.5kg (27.4 lbs), 580mm X 400mm X 100 mm
(22*16*4 inch)
Package 4: LED Lighted Infographic Panel with Stand X 1: 2kg (4.5 lbs), 580*400X60mm (23*16*2 inch)
Total Weight: 21.2kg (47.6 lbs
Brand: WLKATA
Difficulty: ★★ (Beginner to Intermediate)
Access:
This textbook is offered free with the WLKATA Fruit Picking Cell
(Find the digital textbook on the USB drive included in your product package.)
Featured Contents:
- Product introduction and safety precautions
- Installation and use of WLKATA Studio
- Setup of WLKATA BlockFactory programming platform
- Introduction to the WLKATA Multifunctional Extender Box
- Software interface and system configuration
- Hands-on experiments:
- Arduino RGB and buzzer control
- Robotic arm block-based programming
- RS485 communication control
- VisionSoftGrip color recognition
- Robotic arm visual picking
- Complete fruit picking production line experiment
Join the Learners Community
💬
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GitHub
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