The WLKATA Mirobot Fruit Picking Cell is an advanced educational solution designed to simulate smart farming and industrial automation. It combines a 6-axis mini industrial robot arm with AI vision capabilities to perform tasks such as object recognition, picking, and sorting. It is an ideal platform for teaching Industry 4.0 concepts, robotic programming, and artificial intelligence in schools and universities.

All-in-One Solution: Includes everything needed for a smart farming simulation out of the box.

Open Source: Highly compatible with open-source platforms like Arduino and ROS.

Safe for Education: Compact size and low voltage, making it safe for classroom environments.

Comprehensive Curriculum: Comes with structured lessons and lab projects for students.

Technical Specifications

1. Robotic Arm (WLKATA Mirobot):

Degrees of Freedom: 6 axes.

Payload: 150g (standard) to 400g (max).

Reach: 315 mm.

Repeatability: 0.2 mm.

Communication: USB, Wi-Fi, Bluetooth, RS485.

Controller: Built-in controller supporting multi-robot collaboration.

2. AI Vision and Control System:

Vision Sensor: AI camera module capable of color recognition, shape detection, and tracking.

Control Hub: AI-HUB (Arduino compatible) for managing sensors and actuators.

HMI (Human-Machine Interface): Integrated touch screen for direct control and monitoring.

Sensors: External RGB color sensor and infrared sensors for object detection.

3. Software and Programming:

Software Suite: WLKATA Studio (includes teaching pendant, drawing, and G-code control).

Programming Languages: Python, C++, Blockly (graphical programming), and G-code.

Platform Compatibility: Windows, ROS (Robot Operating System), V-REP/CoppeliaSim, and MATLAB.

4. Hardware Components (The Cell):

Structure: High-quality aluminum and steel frame.

End-effectors: Soft-touch pneumatic gripper (ideal for "fruits") and vacuum suction cup.

Environment Accessories: Simulated fruit tree, colorful fruit models, and designated sorting bins.

Input Power: 110V - 220V AC.