WLKATA Fruit Picking Cell (Mirobot) | AI Vision Touch Screen |

WLKATA Fruit Picking Cell (Mirobot) | AI Vision Touch Screen |

Name: WLKATA Fruit Picking Cell (Mirobot) | AI Vision Touch Screen |
Brand: Wlkata
SKU: WL-PL-PRO-FP-RGB3
Price: 2800.00 USD
Availability: InStock

Authorized Dealer

SKU WL-PL-PRO-FP-RGB3

$2,800.00 - $2,800.00

$2,800.00

$2,800.00 - $2,800.00

$2,800.00

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in stock

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WLKATA Mirobot Fruit Picking Cell

Overview

The WLKATA Mirobot Fruit Picking Cell is a turnkey training workstation that combines a Mirobot 6-axis robotic arm with an AI vision system and an interactive touch screen interface to simulate an automated fruit sorting and picking production line. Designed for vocational training centers, technical colleges, and industry certification programs, this cell provides a realistic, hands-on environment where students learn the principles of vision-guided robotic automation as applied in the food processing, agriculture, and logistics industries.

The integrated AI vision system uses a camera module and machine learning algorithms to identify, classify, and locate simulated fruit objects on the workspace based on color, shape, and size. Once detected, the Mirobot arm autonomously plans and executes pick-and-place motions to sort the objects into designated bins or conveyor positions. This closed-loop workflow of perception, decision, and action teaches students the full automation pipeline used in modern smart manufacturing and agricultural processing facilities.

An interactive touch screen interface provides intuitive control over the entire cell, allowing operators to configure sorting rules, monitor real-time vision output, adjust robotic arm parameters, and review production statistics without writing code. The system ships as a complete, pre-integrated package requiring minimal setup, making it accessible to institutions that need an immediate, classroom-ready demonstration of how AI, robotics, and automation converge in Industry 4.0 applications.

WLKATA Mirobot Fruit Picking Cell with AI Vision

Technical Specifications

Robotic Arm: WLKATA Mirobot 6-axis (included)
Vision System: AI camera module with real-time object detection and classification
Display: Interactive touch screen HMI panel
Sorting Criteria: Color, shape, size recognition
End-Effector: VisionSoftGrip (AI Vision + Three-finger Soft Gripper)
Workspace: Integrated baseplate with designated picking and sorting zones
Communication: USB, Wi-Fi, serial interfaces
Power Supply: AC adapter (included)
Controller: WLKATA AI-HUB (Arduino MEGA 2560-based)
Software: WLKATA BlockFactory drag-and-drop programming platform
Curriculum Materials: Lesson plans, lab exercises, and assessment guides included

Key Features

Turnkey AI-Vision-Guided Workstation: Simulates real-world automated fruit picking and sorting production line operations for vocational and technical education.
Integrated AI Vision System: Performs real-time object detection, classification by color, shape, and size, and localization for closed-loop pick-and-place automation.
Interactive Touch Screen HMI: Enables intuitive configuration of sorting rules, real-time vision monitoring, arm parameter adjustment, and production statistics review.
Pre-Integrated System Design: All mechanical, electrical, and software components are included and factory-calibrated for immediate classroom deployment with minimal setup.
WLKATA Mirobot 6-Axis Arm: Provides authentic industrial robot kinematics in a safe, desktop-scale form factor suitable for classroom and laboratory environments.
Full Industry 4.0 Automation Pipeline: Demonstrates perception, decision, and action workflow, preparing students for careers in smart manufacturing and agricultural technology.
Configurable Sorting Rules: Allows educators to create varied exercise scenarios of increasing complexity, from simple color sorting to multi-criteria classification challenges.
Comprehensive Curriculum Materials: Lesson plans, lab exercises, and assessments support structured teaching of AI, vision systems, and robotic automation.

Applications

The WLKATA Mirobot Fruit Picking Cell is designed for vocational training centers, technical colleges, and university engineering departments that teach robotics, automation, and artificial intelligence. Instructors can use the cell to demonstrate how AI vision, robotic manipulation, and process control work together in real production environments, giving students direct experience with the technologies driving Industry 4.0 transformation across manufacturing and agriculture.

Agricultural technology programs benefit from the fruit picking simulation, which models the challenges of automated harvesting including object identification under variable conditions, gentle handling of irregularly shaped items, and high-speed sorting based on multiple quality criteria. Food processing and logistics training programs can adapt the cell to demonstrate quality inspection, automated packaging, and warehouse sorting operations.

Research laboratories and corporate training facilities use the Fruit Picking Cell as a prototyping platform for vision-guided robotic workflows. The modular architecture and open programming interface allow advanced users to develop custom sorting algorithms, integrate external sensors, and test new end-effector designs before deploying solutions on full-scale industrial equipment.

Setup and Getting Started

Estimated Setup Time: 30 to 45 minutes; the system arrives pre-integrated and factory-calibrated for minimal classroom setup time.
Step 1 - Unbox and Verify: Confirm all components: WLKATA Mirobot Professional Kit (6-axis arm), VisionSoftGrip (AI Vision plus Three-finger Soft Gripper), Production Cell Smart Base, Color Sensor Module, Fruit Trees Kit (stand, calibration stand, fruit models including apples, oranges, and pears, three baskets), Main Control Box (Arduino MEGA 2560), Touchscreen Module, LED Lighted Infographic Panel with Stand, and Document and Educational Resource Kit.
Step 2 - Position Components: Place the Smart Base on a flat surface. Mount the Mirobot and VisionSoftGrip. Position the Fruit Trees Kit within the arm's reach envelope. Set up the LED Infographic Panel.
Step 3 - Connect Electronics: Connect the Main Control Box to all components. Attach the Touchscreen Module. Power everything on via USB and the Arduino-based controller.
Step 4 - Calibrate Vision: The AI vision system arrives factory-calibrated. Run the included calibration verification using the calibration stand to confirm color, shape, and size detection accuracy.
Step 5 - First Sorting Demo: Use the Touchscreen Module to launch a fruit sorting demonstration. The system performs real-time object detection, classifies by color, shape, and size, and executes closed-loop pick-and-place.
Programming Options: WLKATA BlockFactory (drag-and-drop visual programming), Python scripting, and G-code for advanced users.

What's Included

WLKATA Mirobot Professional Kit: Complete 6-axis robotic arm with controller and cables
VisionSoftGrip: AI Vision module with three-finger soft gripper end tool
Production Cell Smart Base (Small): Integrated baseplate with picking and sorting zones
Color Sensor Module: Additional color detection sensor for sorting verification
Fruit Trees Kit: Fruit tree stand, calibration stand, apple/orange/pear models, and three sorting baskets
Main Control Box: Arduino MEGA 2560-based controller mounted to baseplate
Touchscreen Module: Interactive HMI panel for system control and monitoring
AC Power Adapter: Standard power supply for the complete system
Curriculum Materials: Lesson plans, lab exercises, and assessment guides
Quick Start Guide: Setup instructions and initial calibration procedures

Documentation

WLKATA Mirobot User Manual: https://document.wlkata.com/?doc=/wlkata-mirobot-user-manual-platinum/
WLKATA Mirobot User Manual (PDF): https://uploads-ssl.webflow.com/5edc22ea8e58c13e2883e09b/5ef66a8a62fc283a5fcac55e_WLKATA%20Mirobot%20User%20Manual%20V1.1.pdf
WLKATA Studio Software Download: https://www.wlkata.com/pages/download-center

Warranty Information

This product is covered by the WLKATA Product Warranty Policy. WLKATA warrants that products purchased legally or obtained through operational activities are eligible for warranty service provided by Wristline Inc. (WLKATA) or authorized agents.

WLKATA Mirobot Robotic Arm: 1-Year Warranty

Spare Parts: 3-Month, 6-Month, or 1-Year Warranty (varies by part)

Consumables: Not Covered Under Warranty

Not Covered (Paid Warranty applies):

- Product exceeds the warranty period

- Unable to provide valid proof for warranty or invoice

- Failures from lack of proper use and maintenance per the user manual

- Unauthorized disassembly, maintenance, or modification

- Improper use including immersion, dampness, mold, insect or animal damage

- Damage caused by force majeure

WLKATA bears shipping costs for free warranty claims (both directions). Paid warranty extension is available by negotiation.

Frequently Asked Questions

What is the Fruit Picking Cell?

A complete educational demonstration of agricultural automation: a Mirobot arm with a soft gripper, a sample tree with realistic fruit replicas in varying colors and ripeness states, an AI vision camera, a touchscreen interface for student interaction, and pre-configured software that detects ripe fruit and picks it autonomously. A turn-key teaching kit.

Is the soft gripper necessary?

Yes for fruit-handling demonstrations. A standard hard parallel gripper would crush soft fruit. The included pneumatic soft gripper applies gentle, distributed force suitable for tomatoes, strawberries, and similar produce. The same gripper handles non-fruit demonstrations safely as well.

How does the AI determine ripeness?

A small convolutional classifier trained on color and texture features. Ripe fruit (red, full color, smooth skin) is identified versus unripe (green, partial color, varied texture). The classifier runs on a connected laptop and feeds picking commands to the arm. Students can retrain the classifier for different fruit types.

What does the touchscreen interface do?

Real-time student interaction: shows what the AI is seeing, lets students manually approve or override picking decisions, displays statistics on picks-per-minute and accuracy, and provides a curriculum-aligned guided exercise mode. Students can also manually control the arm through the touchscreen for free-exploration sessions.

Is this a demonstration or a real research platform?

Demonstration. The fruit replicas are static, the lighting is controlled, and the picking pattern is simplified. Real agricultural fruit-picking is a much harder problem (varying lighting, occlusions, fruit cluster geometry, time pressure). Use this as a teaching tool to introduce concepts; real research uses different platforms.

Can students train it on different fruits or just the included ones?

Both. The included fruit replicas are red apple, green apple, tomato, strawberry, and yellow lemon. Students can add new types by capturing training images on their own (real or replica fruit) and retraining the classifier. The retraining workflow takes 30 to 60 minutes including image capture.

What curriculum topics does it cover?

Agricultural automation basics, soft robotics, computer-vision-based decision making, AI ethics in agriculture (job displacement, water and chemical use), and integration of mechanical, vision, and AI systems. Suitable for upper-secondary or community-college agricultural-technology programs.

How big is the cell?

Approximately 1 m by 1 m footprint with the tree mockup, plus 0.5 m of clearance for the arm motion. Touchscreen and laptop add another 0.4 m. Total recommended workspace is 1.5 m by 1.5 m. Fits in most standard classroom or training-lab settings.

What is the warranty?

12-month warranty on the Mirobot, soft gripper, AI camera, and touchscreen. Sample fruit replicas and consumables are wear items not covered. RoboticsSelect handles warranty service through the authorized channel.

Does it include a curriculum guide?

Yes. 12 lesson modules covering agricultural automation, soft robotics, AI vision, ethics, and a capstone project where students design their own picking strategy. Aligned to common agricultural-technology educational standards.