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【AI-Driven and Jetson-Powered】JetArm Pro is a high-performance 3D vision robot arm developed for ROS education scenarios. It is equipped with the Jetson Nano, Orin Nano, or Orin NX as the main controller, and is fully compatible with both ROS1 and ROS2. With Python and deep learning frameworks integrated, JetArm Pro is ideal for developing sophisticated AI projects.

【High-Performance AI Robotics & 3D Vision】 JetArm Pro features six high-torque smart bus servos, a 3D depth camera, a 7-inch touchscreen, and a microphone array—bringing together powerful hardware to support a wide range of AI-powered capabilities, including 3D spatial grasping, target tracking, object sorting, voice control, and embodied AI.

【Enhanced Human-Robot Interaction Powered by AI】JetArm Pro leverages Multimodal Large AI Models to create an interactive system centered around ChatGPT. Paired with its 3D vision capabilities, JetArm Pro boasts outstanding perception, reasoning, and action abilities, enabling more advanced embodied AI applications and delivering a natural, intuitive human-robot interaction experience.

【Versatile Multimodal Expansion】With support for Mecanum wheel and tank chassis, electric sliding rail, and conveyor belt, JetArm Pro easily adapts to creative AI applications like intelligent transport, line following, and automated workflows—making it ideal for building advanced, scalable AI scenarios.

【Advanced Technologies & Comprehensive Tutorials】With JetArm Pro, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv11, MediaPipe, AI models, robotic inverse kinematics, MoveIt, Gazebo simulation, and voice interaction. We provide in-depth learning materials and video tutorials to guide you step by step, ensuring you can confidently develop your own AI-powered robotic arm.

【Ultra High Resolution with WiFi Video Transmission】 This module features a 2-megapixel camera and supports dual-mode network communication for real-time WiFi video transmission.

【Developed upon ESP32-S3 Chip】 Powered by the ESP32-S3 chip, it operates at frequencies of up to 240MHz and supports Type-C and IIC communication protocols.

【AI Vision Recognition】 The ESP32 S3 vision module is capable of face recognition, color detection, line tracking, and more, with options for custom recognition features.

【Versatile Compatibility】 Works with Arduino, Raspberry Pi, and other platforms for a range of applications.

【Vision AI, Powerful Computing Power】 Hiwonder WonderMV open source vision module is a powerful and cost-effective Al vision module. It is developed based on the K210 chip and supports 12 AI vision items such as color recognition, road sign recognition, vision line following, face recognition, mask recognition, and tag recognition function.

【Compatible with Various Controllers】 WonderMV vision module is equipped with a serial interface and can be used with various controllers such as STM32, Raspberry Pi, Arduino, Micro:bit, etc. Users can easily output vision recognition results to an external controller through the serial port, without the need to delve into complex vision algorithms, making it easy to create creative AI projects.

【ESP32 Controller & Arduino Programming】 LeArm AI is an AI open source robot arm powered by ESP32 and fully compatible with Arduino programming. It features built-in Bluetooth and multiple expansion ports, which makes it ideal for function upgrades and secondary development.

【Inverse Kinematics & Smart Bus Servos】 Equipped with 6 smart bus servos and advanced inverse kinematics algorithm, Hiwonder LeArm AI delivers precise path planning and smooth, efficient movements—perfect for tackling complex tasks.

【Versatile Sensor Expansion】 LeArm supports a wide range of sensors, including AI vision, voice module, ultrasonic, and acceleration sensors. It enables creative applications like color recognition, target tracking, face detection, voice control, and distance measurement.

【Multiple Control Options】 Control LeArm AI with an app, PC software, or wireless controller. It's incredibly easy to get started, requiring no prior experience.

【Open Source Code & Comprehensive Learning Resources】 Comes with 200+ tutorials, sample experiments, open source code, circuit schematics, and well-commented programs—helping users dive into AI and programming while sparking endless creativity.