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WLKATA |AI-HUB| AI Navigation Learning Kit (With Textbook) - XFactory Brain - Control Robotic Arms with AI Vision, Voice, Gesture, Arduino
WLKATA |AI-HUB| AI Navigation Learning Kit (With Textbook) - XFactory Brain - Control Robotic Arms with AI Vision, Voice, Gesture, Arduino
WLKATA |AI-HUB| AI Navigation Learning Kit (With Textbook) - XFactory Brain - Control Robotic Arms with AI Vision, Voice, Gesture, Arduino
WLKATA |AI-HUB| AI Navigation Learning Kit (With Textbook) - XFactory Brain - Control Robotic Arms with AI Vision, Voice, Gesture, Arduino
WLKATA |AI-HUB| AI Navigation Learning Kit (With Textbook) - XFactory Brain - Control Robotic Arms with AI Vision, Voice, Gesture, Arduino
WLKATA |AI-HUB| AI Navigation Learning Kit (With Textbook) - XFactory Brain - Control Robotic Arms with AI Vision, Voice, Gesture, Arduino

WLKATA |AI-HUB| AI Navigation Learning Kit (With Textbook) - XFactory Brain - Control Robotic Arms with AI Vision, Voice, Gesture, Arduino

SKU WL-AC-AIDS-2560
$970.00 - $970.00
$970.00
$970.00 - $970.00
$970.00
Availability:
in stock

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Frequently Asked Questions

How is the Navigation Learning Kit different from the Development Kit?

The Navigation Kit specifically focuses on multimodal control and mobility: an AI-HUB console with offline voice, gesture, infrared and color recognition modules, a VisionGrip AI vision and suction end tool, a Mini AGV with a Scene Map for autonomous navigation, and an IR remote. The Development Kit is the AI-HUB board with 11 general-purpose Arduino sensors and modules for sensor integration, communication protocols and multi-robot control. Both are built on the Arduino MEGA 2560 based XFactory Brain. Choose Navigation for project-based courses on natural-interface control and mobile robots. Choose Development for foundational Arduino, sensor and multi-robot skills.

What inputs does it support?

Vision (the VisionGrip AI vision end tool with a suction cup, for object and color recognition), voice (a built-in offline voice recognition module with voice announcement), gesture (a gesture recognition module that reads hand movements), plus infrared detection, a color recognition module, a joystick, buttons and a rotary potentiometer. Each input feeds into the arm's control logic so students can build natural-interface demos.

Does the voice recognition work offline?

Yes. The console's built-in AI voice module uses an offline voice recognition sensor with voice announcement, so no internet connection is needed. WLKATA describes the spoken commands as simple and customizable; the online textbook's voice-control experiment shows how they are set up. No cloud speech service is involved.

Can the kit recognize specific gestures or only general motion?

Specific gestures. The console includes a dedicated gesture recognition module (a sensor, not a camera pipeline) that detects hand movements such as waves and maps them to robot actions in the textbook experiments. WLKATA does not describe training custom gestures; custom behaviors are built by combining the detected gestures in your Arduino or BlockFactory program.

What kind of projects do students typically build?

The online textbook provides more than 15 experiments with source code and videos: voice-commanded arm control, gesture-controlled arm motion, joystick and button control, color-based sorting with the color recognition module, vision-guided picking with the VisionGrip suction tool, and Mini AGV navigation on the Scene Map. Students combine these into projects such as voice-commanded sorting or a mobile pick-and-deliver routine.

Does it include Arduino integration?

Yes. The AI-HUB console itself is built on an Arduino MEGA 2560 development board, so students program it in the Arduino IDE or WLKATA BlockFactory and learn how control logic interfaces with low-level sensors and actuators. The console talks to WLKATA arms and accessories over Arduino, RS485 and Modbus, and a USB-to-RS485 module is included. Students learn how a controller layer coordinates sensors, an arm and a mobile robot in one system.

What programming experience does it assume?

The Arduino environment is the primary path: WLKATA BlockFactory block-based programming for the introductory experiments, then Arduino C++ with WLKATA's pre-built libraries, so students do not start from raw C++. A Python SDK is available on WLKATA's GitHub for the arms. WLKATA writes the material for beginners with little or no Arduino experience.

What is the warranty?

12-month warranty on the AI-HUB. Spare parts carry 3-month, 6-month or 1-year coverage depending on the part, and consumables are not covered. The textbook is accessed online through the included code card. RoboticsSelect handles warranty service.