WLKATA AI Automatic Sorting Cell (Mirobot) | Touch Screen

The WLKATA AI Vision Set uses an OpenMV-based camera module to dynamically identify target objects on the conveyor. The included color blocks support color-based sorting out of the box. The recognition target can be reconfigured for other criteria: WLKATA lists color, shape, and code (barcode) recognition for the set. This flexibility extends the cell from introductory color sorting to more complex sorting and logistics scenarios.

Two arms teach multi-robot coordination, work-zone allocation, and dual-arm scheduling: topics central to real smart-factory deployments where multiple robots share workspace. A single larger arm would teach single-arm motion planning but miss the coordination challenges that account for much of real-world industrial automation complexity. The cell pairs a Professional Kit (with Bluetooth controller for handheld programming) with an Education Kit (standard PC-based programming).

Not as an included feature. The vision pipeline runs on the OpenMV-based camera module, programmed in Python, and covers color, shape, and code recognition; WLKATA does not list deep-learning frameworks such as TensorFlow, PyTorch, or YOLO for the cell. Because the Mirobot arms are controlled through the open Python SDK and open APIs, students and researchers can run their own vision software on a connected computer and drive the arms from it. A common capstone project is to extend the base cell with a new sort criterion beyond color.

The arms are programmed through WLKATA Studio (Blockly graphic programming, teach-and-play, and Python) and the WLKATA Python SDK, while the Arduino MEGA 2560-based master control box is programmed with WLKATA BlockFactory or C++ in the Arduino IDE. WLKATA also lists ROS2 and MATLAB support for the Mirobot for university-level coursework. The same hardware platform supports all skill levels.

The WLKATA AI Vision Set is a calibrated integrated camera-and-stand unit using an OpenMV-based vision module designed specifically for the cell. While similar image-processing algorithms can run on a generic webcam with a host computer, the AI Vision Set comes with a vision stand, light ring, and calibration board, giving consistent lighting, fixed-distance calibration, and a known coordinate frame relative to the conveyor. This reduces the calibration drift and lighting variance issues that complicate generic webcam setups. The OpenMV module runs its Python vision scripts on board, so the cell does not depend on a host PC for image processing.

The AI Automatic Sorting Cell focuses on vision-guided sorting using the OpenMV-based AI Vision Set and a conveyor belt with two Mirobots. The Automobile Assembly Cell focuses on multi-station automotive assembly using three Mirobots, a sliding rail, a 1/18 scale car model, and a welding simulation module. Schools teaching multi-industry curriculum often deploy both cells; they share the Mirobot platform, simplifying maintenance and student knowledge transfer.

The cell supports a range. High school students using Blockly programming can complete introductory color-sorting exercises. Community college students program the OpenMV camera in Python and the control box in Arduino C++ to develop new sort criteria. University students using ROS2 or their own vision software complete advanced integrations. The included textbook, which WLKATA rates beginner to intermediate, provides structured exercises for the introductory and intermediate levels.

Yes, within limits. The cell is a single integrated unit built from standard WLKATA arms and accessories, so its components extend into other WLKATA cells and mini production lines. Chaining several cells into one line (for example AI Sorting feeding Automobile Assembly) is not a packaged WLKATA configuration; schools that want it purchase multiple cells and write the coordination programming themselves, and should plan for floor space and cell-to-cell signaling.

RoboticsSelect is an authorized WLKATA dealer, so the WLKATA manufacturer warranty applies to AI Automatic Sorting Cell purchases: 12 months on the robotic arms and on the vision and control hardware, with spare parts covered for 3, 6 or 12 months depending on the part and consumables excluded. Authorized dealer status ensures warranty claims are processed through verified channels. For schools and institutions purchasing multiple cells or committing to multi-year curriculum partnerships, RoboticsSelect supports institutional purchase orders and provides ongoing dealer support.