allow-activity

【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.

【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.

【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.

【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.

【Professional K210 AI Chip】Powered by a dedicated K210 AI processor, the WonderLens completes complex computer vision tasks locally with high speed and minimal latency for real-time performance.

【8 AI Vision Modes & One-Click Training】Unlock 8 offline AI vision modes with WonderLens, including color/face recognition, line tracking, image classification, and other vision modes. Train this ai vision module via easy one-click training with zero coding experience.

【Built-in Screen】The WonderLens AI camera features a 2MP HD camera, a fill light, and an integrated screen to provide better real-time visual feedback.

【Supports Multiple Development Platforms】It supports Arduino programming and works with platforms such as micro:bit, Raspberry Pi, ESP32, and STM32—perfect for expanding AI projects.

【LEGO-Compatible & Screw Mounting Holes】Designed for versatility, this AI vision module easily integrates into LEGO creations. Equipped with standard screw mounting holes, it is ideal for STEAM education and rapid AI robotics prototyping.

【Powered by Multimodal AI Models】Powered by multimodal AI, the WonderMind AI module delivers precise environment recognition and natural voice interactions. It seamlessly supports leading LLMs like DeepSeek, Qwen, and Doubao for flexible AI expansion

【Enclosed Design & Daisy-Chain Sensors】All sensors and the controller feature fully enclosed protective structures. Additionally, the sensors use I2C serial communication to support multi-module daisy-chaining.

【Scratch & Python Programming】Powered by an advanced ESP32 controller with built-in Wi-Fi and Bluetooth, this robotics kit delivers responsive, real-time control for your projects. Supporting both beginner-friendly Scratch and text-based Python programming, it lets learners start with intuitive drag-and-drop coding and gradually progress to real Python programming as their skills grow.

【3-IN-1 Builds & LEGO Compatible】Master 3 progressive models via visual guides. Seamlessly compatible with standard LEGO bricks for limitless expansion and endless DIY robotic creations!

【Powerful ESP32 Core Performance】Built around a high-performance ESP32 controller, DaDablock AI vision kit supports fast wireless connectivity, stable operation, and responsive processing from basic commands to complex logic tasks.

【Offline AI Vision & One-Click Learning】Unlock 8 offline AI vision modes with the included WonderLens AI vision module, including color/face recognition, line tracking, image classification and other vision interactions. Train this vision module via easy one-click machine learning with zero coding experience required.

【LEGO-Compatible Building System】Interfaces and dimensions match standard LEGO parts, allowing flexible expansion with brick components and seamless integration of electronics and mechanical structures.

【Scratch To Python Coding】Designed to grow with your child's skills. Beginners start with intuitive drag-and-drop Scratch programming, then transition seamlessly to text-based Python coding projects.

【18 Guided Builds & Endless DIY】Follow step-by-step visual guides to master 18 official models. Beyond these classics, easily combine with your existing building blocks to unleash endless DIY robotic creations!

【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.

【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.

【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.

【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.

【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.

【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.

【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.