All Products

【Serial Bus Daisy-Chaining】Featuring a compact dual-shaft frame and dual 3-pin ports, the HX-08LC enables efficient TTL single-wire daisy-chaining. A single bus controls multiple servos, eliminating cable clutter for a clean, streamlined robot layout.

【8 kg·cm Torque & Millisecond Response】Driven by a high-performance coreless motor with precise 240° control, this servo delivers a swift 0.06 s/60° response and an 8 kg·cm stall torque, ensuring exceptionally precise, fluid robotic motion.

【Dual-Shaft Architecture】The HX-08LC utilizes a miniature dual-shaft design to minimize installation space while optimizing load distribution, ensuring balanced joint stress and highly stable operation under load.

【Precision Stainless Steel Gears】High-strength stainless steel gears paired with a low-heat coreless structure ensure smooth rotation, maximizing transmission precision and mechanical lifespan during high-load operations.

【Trapezoidal Motion Control】This servo enables rapid ID/mode configuration and data readback via PC software. Its built-in trapezoidal acceleration algorithm effectively eliminates inertial jitter, achieving smooth, flexible joint transitions.

【Embodied AI ROS 2 Robotic Arm】ROS 2-powered & Jetson/Raspberry Pi 5 compatible. Packed with a 3D depth camera, AI voice box, and 65 kg·cm magnetic encoder servos to effortlessly deliver motion-sensing interaction, voice control, and intelligent grasping.

【Sandbox Setup & Flexible Expansion】Compatible with electric sliding rails, conveyors, and mobile chassis, the NexArm ROS simulates smart warehousing, logistics sorting, and automated production lines—delivering a real-world validation environment for embodied AI algorithms.

【Large AI Models & OpenClaw Agent】Supports online/local multimodal AI model deployment. Deep OpenClaw Agent integration enables remote voice/text interaction, autonomous task decomposition, intelligent decision-making, and complex task execution.

【3D Vision & Spatial Grasping】Featuring a 3D depth camera and an all-metal frame, NexArm ROS enables advanced AI applications like tracking, grasping, sorting, and transporting anywhere within 3D space.

【Out-of-the-Box Ready & Full-Scale Curriculum】Pre-loaded with Ubuntu 22.04 alongside a complete dev stack of Python, TensorFlow, PyTorch, and ROS for instant deployment. Includes an end-to-end curriculum spanning computer vision, deep learning, NLP, inverse kinematics, large AI models, and VLA imitation learning.

【Ultra-Compact & Lightweight】The board's small-volume design significantly reduces space occupancy, tailored specifically for compact platforms like drones and mini-robots with stringent size and weight constraints.

【NVIDIA Module Compatibility】Fully compatible with official NVIDIA Jetson Orin Nano and Orin NX modules. Interchangeable core configurations allow you to scale edge AI computing power as needed.

【Versatile Connectivity】Features standard CSI camera ports, high-speed USB 3.0, an M.2 Wi-Fi slot, and a standard 40-pin GPIO array, offering plug-and-play integration for vision systems, LiDAR, and diverse peripherals.

【Clean & Stable Power】Optimized boot logic enables true headless operation without needing an HDMI dummy plug, ensuring pristine and stable power delivery even under heavy processing loads.

【Blazing-Fast Storage】Pre-flashed for instant startup, the 128GB SSD supercharges system response, leaving plenty of room to run complex AI models and store massive development logs.

【Ultra-Compact & Lightweight】The board's small-volume design significantly reduces space occupancy, tailored specifically for compact platforms like drones and mini-robots with stringent size and weight constraints.

【NVIDIA Module Compatibility】Perfectly fits the official NVIDIA Jetson Nano SOM with hassle-free installation, effortlessly unlocking powerful edge AI computing.

【Versatile Connectivity】Features standard CSI camera ports, high-speed USB 3.0, an M.2 Wi-Fi slot, and a standard 40-pin GPIO array, offering plug-and-play integration for vision systems, LiDAR, and diverse peripherals.

【Clean & Stable Power】Optimized boot logic enables true headless operation without needing an HDMI dummy plug, ensuring pristine and stable power delivery even under heavy processing loads.

【ROS2 Development Support】Fully compatible with ROS2 to enable scene understanding, computer vision, and object detection. Experience a seamless, end-to-end pipeline from cloud model deployment to local hardware execution.

【High Performance & Millisecond Response】Powered by a 72MHz processor and a dynamic compensation algorithm, it delivers up to a 250Hz update rate. Fast response ensures stable, reliable data output even during high-frequency motion.

【Broad Compatibility】Supports dual-mode I2C/Serial communication with driver-free Type-C plug-and-play. Compatible with mainstream MCUs and Linux, offering seamless integration with ROS 1 and ROS 2.

【Real-Time GUI Visualization】Includes dedicated host computer software (GUI) that visualizes raw data into real-time 3D attitude models and dynamic waveforms, enabling rapid debugging without a ROS controller.

【10-Axis Spatial Sensing】Integrates a 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, and high-precision barometer. Supporting altitude measurements from 2,400m to 2,500m, it is ideal for drones, self-balancing robots, and other versatile applications.

【Versatile Project Solutions】Comes with sample code for STM32, ESP32, Raspberry Pi, and Jetson. Includes ROS 1 & ROS 2 application demos and RViz visualization setups for out-of-the-box deployment.

【Embodied AI ROS 2 Robotic Arm】ROS 2-powered & Jetson/Raspberry Pi 5 compatible. Packed with a 3D depth camera, AI voice box, and 65 kg·cm magnetic encoder servos to effortlessly deliver motion-sensing interaction, voice control, and intelligent grasping.

【Sandbox Setups & Flexible Expansion】The NexArm ROS robotic arm is compatible with peripherals like electric sliding rails, conveyor belts, and mobile chassis. It simulates smart warehousing, logistics sorting, and automated production lines, providing a real-world validation environment for embodied AI algorithms.

【Large AI Models & OpenClaw Agent】Supports online/local multimodal AI model deployment. Deep OpenClaw Agent integration enables remote voice/text interaction, autonomous task decomposition, intelligent decision-making, and complex task execution.

【3D Vision & Spatial Grasping】Equipped with a 3D depth camera and an all-metal robotic arm, it executes advanced AI tasks like 3D spatial tracking, picking, sorting, and transporting.

【Out-of-the-Box Ready & Full-Scale Curriculum】Pre-loaded with Ubuntu 22.04 alongside a complete dev stack of Python, TensorFlow, PyTorch, and ROS for instant deployment. Includes an end-to-end curriculum spanning computer vision, deep learning, NLP, inverse kinematics, large AI models, and VLA imitation learning.

【ESP32-P4C5 Dual-Chip Architecture】Powered by a heterogeneous ESP32-P4 and ESP32-C5 design, it merges AI compute with high-speed networking, providing a powerful backbone for edge AI vision and real-time interaction.

【Large AI Model & ESP-Claw AI Agent】Integrating large AI model reasoning with agent execution, it handles task breakdown, cross-platform synergy, and proactive feedback to complete the command-to-action loop.

【High-Performance Hardware】Includes a 2MP HD camera, AI neural network processor, high-fidelity speakers, and a 2.0-inch LCD touch screen, delivering smooth, high-quality audio-visual interaction.

【Offline Visual & Voice Interaction】Enable AI features like WiFi video streaming, color recognition, facial detection, and voice control without needing an internet connection.

【Broad Compatibility】With the I2C interface, WonderLLM is compatible with mainstream controllers such as Arduino, ESP32, STM32, and more. It's plug-and-play, enabling easy expansion into a variety of AI applications.

【Arduino AI Development Board】Arduino UNO Q bridges high-performance computing with real-time control. Get power and ease of use – all wrapped up into UNO.

【Dual-Brain Architecture】Featuring the Qualcomm Dragonwing™ QRB2210 MPU and STM32U585 MCU, this single board seamlessly balances complex computing with precise control.

【Native Edge AI Support】Powered by a high-performance processor running Linux, it supports Python, Docker, machine learning models, and audio/visual recognition. This elevates Arduino development from traditional hardware control to intelligent AI applications.

【All-New Arduino App Lab】By consolidating Arduino Sketch, Python, Linux applications, Docker, and AI model development into a unified environment, this platform drastically lowers the barrier to Linux and AI development for a simpler, highly efficient workflow.

【Classic UNO Ecosystem, Fully Upgraded Experience】Retaining the iconic UNO form factor and Arduino ecosystem, it maintains compatibility with extensive development resources and expansion methods. This ensures a seamless migration for existing users while empowering new projects with robust development capabilities.

【Raspberry Pi 5 & ROS 2 Platform】Built on Raspberry Pi 5 and ROS 2, it leverages Python and OpenCV for highly efficient AI processing. Complete source code and comprehensive tutorials accelerate your robotics application development.

【Multimodal Large AI Models & OpenClaw Agent】Powered by multimodal large AI models and the OpenClaw agent, it processes remote voice or text commands to autonomously break down tasks, make intelligent decisions, and seamlessly execute complex operations.

【Beginner-Friendly Experience】With a built-in interactive display and one-tap mode switching, it lets beginners instantly explore face tracking, gesture control, body tracking, and AI chats.

【AI Vision & Autonomous Driving】Its 2DOF HD camera enables FPV transmission, object color recognition, line following, and autonomous driving—perfect for creative AI vision projects.

【SLAM Navigation & Route Planning】With a built-in LiDAR, it achieves intelligent navigation and spatial awareness through real-time environmental mapping, autonomous route planning, and dynamic obstacle avoidance.

【Embodied AI ROS 2 Robotic Arm】ROS 2-powered & Jetson/Raspberry Pi 5 compatible. Packed with a 3D depth camera, AI voice box, and 65 kg·cm magnetic encoder servos to effortlessly deliver motion-sensing interaction, voice control, and intelligent grasping.

【All-Terrain Mobile Chassis】Supports Mecanum and tank chassis to effortlessly navigate complex terrains. The trusted platform for robotics competitions, R&D, and scenario testing.

【Large AI Models & OpenClaw Agent】Supports online/local multimodal AI model deployment. Deep OpenClaw Agent integration enables remote voice/text interaction, autonomous task decomposition, intelligent decision-making, and complex task execution.

【3D Vision & Spatial Grasping】Equipped with a 3D depth camera and an all-metal robotic arm, it executes advanced AI tasks like 3D spatial tracking, picking, sorting, and transporting.

【Out-of-the-Box Ready & Full-Scale Curriculum】Pre-loaded with Ubuntu 22.04 alongside a complete dev stack of Python, TensorFlow, PyTorch, and ROS for instant deployment. Includes an end-to-end curriculum spanning computer vision, deep learning, NLP, inverse kinematics, large AI models, and VLA imitation learning.

【Modular Dual-Arm Production Line Setup】Simulates automated production lines for comprehensive hands-on training. Fully supports 3D perception, dual-arm coordination, visual interface control, and pick-and-place operations.

【Dual-Arm Collaboration & 3D Vision Perception】Combines a 3D vision dual-arm system with an electric conveyor to seamlessly fuse 3D point cloud recognition, inverse kinematics, and YOLO deep learning. Enables precise 3D spatial positioning, real-time tracking, adaptive grasping, and smart sorting.

【Embodied AI ROS 2 Robotic Arm】Utilizes the 3D vision dual-arm and conveyor setup to execute complex transferring, transporting, and sorting tasks. Replicates industrial multi-robot collaboration as an ideal platform for embodied AI education and automation simulation.

【Large AI Models & OpenClaw Agent】Supports cloud and local deployment of multimodal AI models like Gemini and ChatGPT via the integrated OpenClaw agent. Use natural language or voice commands to automatically decompose tasks and direct collaborative dual-arm execution.

【Out-of-the-Box Ready & Full-Scale Curriculum】Pre-loaded with Ubuntu 22.04, Python, TensorFlow, PyTorch, and ROS for instant deployment. Includes a comprehensive curriculum covering computer vision, deep learning, NLP, inverse kinematics, large AI models, and VLA imitation learning.

【32-Bit ARM Chip & Dual Interfaces】Features a built-in high-performance 32-bit ARM chip with onboard GPIO and I2C ports, ensuring seamless compatibility with mainstream control platforms.

【One-Button Auto-Calibration】Skip complex manual tuning with one-button calibration technology. Calibrate all 8 channels in under a minute, drastically reducing prep time for competitions and development projects.

【Full-Color Tracking & Anti-Interference】Equipped with RGB spotlights and anti-glare phototransistors to recognize various line colors. It effectively blocks ambient light and track reflections for highly stable and reliable data output.

【Master Complex Line Following】A built-in smart algorithm effortlessly handles high-difficulty track conditions, including right-angle turns, sharp U-turns, curves, and intersections.

【Comprehensive Source Code & Tutorials】Includes practical tutorials and source code for Arduino, STM32, Raspberry Pi, and NVIDIA Jetson, allowing even beginners to get started instantly.

【Dual-Core ESP32-P4C5 Processor】Powered by an ESP32-P4C5 dual-core AI module, miniHexa Pro delivers robust edge AI computing. It seamlessly runs advanced offline visual algorithms, including facial, gesture, skeleton, and pet recognition, alongside pedestrian detection and line tracking.

【AI Interaction & ESP-Claw Agent】Equipped with the WonderLLM AI module, it integrates XiaoZhi AI and the ESP-Claw agent to close the perception-decision-execution loop fully. This enables natural voice conversations, intent recognition, multi-step command comprehension, and dynamic human-robot collaboration.

【18DOF Chassis & 2DOF Robotic Arm】Featuring a durable, all-metal 18DOF hexapod chassis paired with a 2DOF robotic arm. This bionic design synchronizes mobility and precision manipulation, allowing the two systems to coordinate flawlessly for complex grasping and object transport.

【Advanced Inverse Kinematics Control】Driven by advanced inverse kinematics algorithms, the robot delivers exceptional maneuverability and precise posture control. It effortlessly supports smooth omnidirectional movement, agile obstacle climbing, and dynamic dancing routines.

【Open-Source & 3 Coding Languages】Designed for AI education, the kit supports Arduino, Scratch, and MicroPython. Extensive open-source code and detailed tutorials are provided to lower the learning curve and empower secondary development.

【ESP32-Powered Performance】Built around a fully enclosed AiBlock ESP32 controller, delivering real-time control and robust computing power to bring your creative projects to life.

【Daisy-Chain I2C Sensors】Equipped with diverse I2C sensors supporting seamless daisy-chaining. Enjoy limitless expansion, flexible layouts, and effortless assembly.

【48+ Builds & 100+ Ways to Play】Features 48 official builds and fully LEGO-compatible parts. Combined with versatile transmission components, it supports open-ended builds and limitless ecosystem expansion.

【Scratch & Python Programming】Bridging the gap between hands-on mechanics and smart programming, this dual-path approach allows beginners to start building immediately and naturally progress into coding—drastically lowering the barrier to entry.

【Professional STEAM Curriculum】Includes comprehensive, PBL-driven courses covering multi-sensor fusion and smart control. Perfectly tailored for students, educators, and hobbyists alike.

【ESP32-Driven AI Robot Car】Designed for AI education, the miniAuto Pro is powered by an ESP32 controller and ESP32-P4C5 multimodal AI module. With its 2DOF arm, it combines voice commands, AI perception, and precise grasping to turn complex algorithms into physical interactions.

【ESP-Claw AI Agent & Multimodal LLM】Integrating the WonderLLM module and XiaoZhi AI platform, the ESP-Claw agent closes the perception-decision-execution loop. It enables natural voice conversations, intent recognition, complex command comprehension, and advanced human-robot collaborative tasks like intelligent grasping.

【360° Omnidirectional Move & Encoder Motors】Four high-precision magnetic encoder gear motors and Mecanum wheels enable smooth 360° movements and lateral drifting. This durable, anti-interference closed-loop system delivers real-time speed monitoring and millimeter-level feedback for flawless route planning.

【Progressive 3-Language Programming】Beginners use intuitive drag-and-drop Scratch coding, while advanced makers dive into Python and Arduino for deep hardware modifications and AI deployment.

【Comprehensive Learning Resources & Open Source】Comes with rich and detailed tutorials, full open-source code, circuit schematics, and well-commented programs, helping users dive into AI and programming while sparking endless creativity.

【Advanced AI Robot Dog】Designed for AI education, MechDog AI acts as a lifelike robotic pet, making learning mechanics, electronics, and programming highly engaging for beginners.

【Multimodal AI & Voice-Vision Interaction】Equipped with an AI module fusing language, voice, and vision models for deep perception. Enjoy real-time Q&A, scene understanding, and smart object recognition for highly natural, customizable interactions.

【Robot Arm Expansion & Coreless Servos】Expandable with a 3DOF robotic arm for autonomous gripping. Driven by 8 high-speed coreless servos, it ensures precise gait control and stable movement.

【Inverse Kinematics for Flexible Movement】Built-in inverse kinematics instantly adjust walking direction and posture, delivering exceptionally flexible and lifelike dynamic movements.

【Cross-Platform Control & Multiple Programming Options】Control seamlessly via PC or mobile app. Supports Scratch, Arduino, and Python, providing versatile programming options for all skill levels.