Robotics

【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 Drive & 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.

【Open-Source Multi-Language Ecosystem】Tailored for AI and programming education, extensive open-source code and detailed tutorials lower the learning curve for beginners while empowering users for advanced custom development.

【Dual-Core ESP32-P4C5 Processor】Powered by an ESP32-P4 and ESP32-C5 dual-core 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 module, it integrates XiaoZhi AI and the ESP-Claw agent to fully close the perception-decision-execution loop. 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 Multi-Language Ecosystem】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.

【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.

【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.

【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.

【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.

【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.

【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.

【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.

【Integrated Algorithm Framework】Integrates YOLO26, OpenCV, MediaPipe, Gmapping, inverse kinematics, and other algorithms and tools, providing a highly configurable and extensible development environment.

【Visual PC Software】Features professional PC software supporting one-click scene switching and dual-stream real-time video feedback. Easily customize scenes and hardware parameters for smooth, efficient operation.

【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.

【All-Metal Build & High-Performance Hardware】Powered by ESP32, Tankbot pairs a suspension tank chassis with a 6DOF robotic arm. It integrates an AI module, an ultrasonic sensor, and a line follower sensor to effortlessly execute complex tasks such as line following, obstacle avoidance, and sorting.

【Multimodal Large AI Model Deployment】The onboard WonderLLM module deeply fuses text, voice, and vision models. This seamless integration enables creative AI applications, including smart chatting, visual recognition, and intelligent gripping.

【Offline Vision & Voice Interaction】Tankbot delivers powerful AI capabilities completely offline. Simply flash different programs to enable internet-free color tracking, face detection, and voice control.

【Extensive Sensor Expansion】Compatible with Hiwonder's entire sensor ecosystem, Tankbot fully supports secondary development. You can easily implement innovative applications like rollover recovery and omnidirectional sensing.

【Comprehensive Open-Source Tutorials】Access to the open-source code, schematics, and systematic courses to fast-track your learning and secondary development. The tutorials cover everything from sensor and motor control to AI deployment.

【Embodied Al Robotic Arm】NexArm robot arm features an industrial-grade metal body with high-precision magnetic encoder servos and inverse kinematics. It delivers a 500mm reach,500g payload, and +2mm repeatability. Curve smoothing algorithms eliminate jitter for precise grasps and smooth trajectories.

【Compatibility with the LeRobot Ecosystem & End-to-End Algorithms】NexArm robotic arm is fully integrated with the LeRobot framework to access community models, datasets, and simulations. Developers can easily train and deploy end-to-end imitation and reinforcement learning algorithms like ACT.

【Leader-Follower Teleoperation & VLA Development】Supports synchronous teleoperation via leader and follower arms. By capturing HD video alongside trajectory data, NexArm robotic arm quickly builds "vision-action" datasets, making it an ideal platform for VLA (Vision-Language-Action) model training.

【Dual-Camera Vision System】Equipped with both a gripper-mounted camera and an external camera, the robot arm system supports both precise manipulation and environmental awareness for accurate imitation learning.

【Open-Source and Multi-Mode Control】Open-source code and schematics, plus PC software, app control, secondary development examples, and structured tutorials, significantly lower the barrier to embodied AI development.

【ESP32-Powered Performance】Built around a high-performance ESP32 controller, DaDablock supports fast wireless communication, stable operation, and responsive processing from basic commands to complex logic tasks.

【Scratch & Python Programming】Supports both block-based and code-based programming for different learning stages, from Scratch-based logic design to advanced algorithm development with Python.

【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.

【36+ Builds with Structured Tutorials】Includes over 36 creative build designs with step-by-step guides and structured tutorials, helping projects progress from basic construction to advanced applications.

【13+ Integrated Sensors】Built with over 13 sensors for distance measurement, tracking, and environmental perception, enabling accurate, intelligent interaction with the physical world.

【Next-Gen Embodied AI Robotic Arm】Built on an ESP32 + AT32 dual-chip architecture, with an industrial-grade all-metal body and advanced inverse kinematics algorithms, NexArm delivers a full-stack solution from low-level hardware to end-to-end large-model validation.

【Compatibility with LeRobot Ecosystem & End-to-End VLA Models】NexArm robotic arm is fully integrated with the LeRobot framework to access community models, datasets, and simulations. Developers can easily train and deploy end-to-end imitation learning algorithms and multimodal models like ACT & VLA.

【65 kg·cm High-Torque Magnetic Encoder Bus Servos】Industrial-grade high-precision magnetic encoder bus servos, combined with trapezoidal acceleration/deceleration and curve-smoothing algorithms, reduce start-stop jitter, enable smooth motion, and deliver ±2 mm repeatability.

【6 TOPS K230 Vision Module & Al Voice Interaction】NexArm robot arm equipped with the K230 Al vision module, with 30+built-in Al vision features including color/objects/gesture recognition and sorting, personalized face recognition, and more. Supports voice control, Al vision & voice interaction, and hand-eye coordinated grasping.

【Open-Source and Multi-Mode Control】Open-source code and schematics, plus PC software, app control, secondary development examples, and structured tutorials, significantly lower the barrier to embodied AI development.

【ROS2 & High-Performance Hardware】 Built on ROS2, ROSOrin Pro is compatible with Jetson and Raspberry Pi 5. Featuring an AI voice interaction module, a 6DOF robotic arm, and other high-performance hardware, it supports motion interaction, voice control, intelligent grasping, and more creative applications.

【AI Large Models and OpenClaw Agent】 Supports multimodal AI large model deployment, including online access and local offline deployment. Deep integration with the OpenClaw agent enables remote voice and text commands, autonomous task breakdown, intelligent decision-making, and complex task execution.

【Mapping, Navigation, and 3D Vision】 Equipped with a TOF LiDAR and a 3D depth camera, ROSOrin Pro supports SLAM mapping, path planning, and dynamic obstacle avoidance, while enabling 3D object recognition, grasping, sorting, transport, and other advanced human-robot collaboration tasks.

【Integrated Algorithm Framework】 Integrates YOLO26, OpenCV, MediaPipe, Gmapping, inverse kinematics, and other algorithms and tools, providing a highly configurable and extensible development environment.

【Comprehensive Development Resources】 Comes with extensive tutorials and development manuals, covering the full learning path from beginner to advanced levels for faster robot development.

【ROS2 & High-Performance Hardware】Built on ROS2 and compatible with Jetson & Raspberry Pi 5, ROSpider features high-voltage bus servos and advanced gait algorithms, delivering exceptional all-terrain mobility.

【Large AI Models & SLAM Navigation】ROSpider integrates Large Language, Voice, and Vision Models with support for both online and local deployment. Combined with TOF LiDAR, it enables precision path planning, intelligent navigation, and advanced human-robot collaboration.

【3D Vision & 6DOF Robot Arm】Equipped with a 3D depth camera and a 6DOF robot arm, ROSpider allows for high-level AI tasks in 3D space, such as tracking, grasping, sorting, and transporting.

【Integrated & Efficient Algorithm Framework】Incorporates various algorithms and tools, including YOLO26, OpenCV, MoveIt2, and MediaPipe, providing a highly configurable and scalable environment for developers.

【Comprehensive Tutorials & Development Resources】Comes with extensive courses, code tutorials, and manuals. Covering the full learning path from basics to advanced topics, it helps you master robot development quickly.

【Compatibility with the LeRobot Ecosystem & End-to-End Algorithms】Hiwonder SO-ARM101 robotic arm is fully integrated with the LeRobot framework to access community models, datasets, and simulations. Developers can easily train and deploy end-to-end imitation and reinforcement learning algorithms like ACT.

【Leader-Follower Teleoperation & VLA Development】Supports synchronous teleoperation via leader and follower arms. By capturing HD video alongside trajectory data, Hiwonder SO-ARM101 robotic arm quickly builds "vision-action" datasets, making it an ideal platformfor VLA (Vision-Language-Action) model training.

【Dual-Camera Vision System】Equipped with both a gripper-mounted camera and an external camera, the robot arm system supports both precise manipulation and environmental awareness for accurate imitation learning.

【High-Performance Servos】Featuring six 30KG high-torque servos with magnetic feedback, the arm delivers smooth, stable motion, eliminating issues like power deficiency and jitter.

【Professional Visual PC Software】Integrated with servo scanning, status monitoring, and trajectory control, the BusLinker V3.0 debugging board simplifies device control and debugging.