New Arrivals

【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 Sensing & Barometric Altimeter】Integrates a 9-axis sensor featuring a magnetometer and a high-precision barometer, supporting altitude measurements from 2,400m to 2,500m. Ideal for drones, self-balancing robots, and more.

【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.

【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.

【Powerful ESP32 Core Brain】Powered by the advanced ESP32 controller with Wi-Fi and Bluetooth, this STEM robotics kit delivers lag-free, responsive performance. Whether executing basic motor commands or complex wireless tasks, teens and coding starters will experience smooth, real-time control over their creations.

【32-in-1 Builds & Step-by-Step Guides】This engineering platform includes detailed, structured tutorials to build over 36 distinct robot models. Easy-to-follow guides take the frustration out of assembly, helping users progress naturally from simple setups to complex engineering projects.

【Multimodal AI Integration】The WonderLLM module embeds multimodal AI models to recognize objects and environments, hold fluid voice conversations, and support seamless integration with leading LLMs like DeepSeek, Qwen, and Doubao.

【Rich Sensor Modules】With 10+ electronic sensors, your builds can measure distances, actively avoid obstacles, track lines, and monitor the environment. These modules turn standard blocks into intelligent machines that instantly react to their surroundings.

【Learn Scratch & Python】Grow from beginner to advanced coder! Start with visual, drag-and-drop Scratch programming to build foundational logic without frustration. As skills improve, seamlessly transition to writing real Python code, preparing users for real-world software development.

【Powered by micro:bit】Equipped with a micro:bit mainboard and a multi-functional expansion board. The expansion board integrates RGB lights, motor and servo ports, and a lithium battery charging circuit.

【Graphical Programming】Utilizes the open-source MakeCode online platform for drag-and-drop block coding. Control hardware instantly via one-click downloads—no textual coding required.

【Fully LEGO-Compatible】Electronic modules feature fully enclosed housings that precisely fit LEGO holes. The screw-less pin-mounting design enables rapid assembly, seamlessly integrating electronic components with mechanical structures.

【36+ Builds & 100+ Playstyles】Offers over 36 building projects, ranging from fun bionics to hardcore mechanical interactions. From building to coding, it covers a complete path of tech exploration.

【Systematic Tutorials & Guides】Comes with beginner-friendly guides that break down complex structures into simple steps, enabling first-time makers to easily get started from scratch.

【ESP32-Powered Performance】Built on the high-performance ESP32 controller, this electronic building block kit delivers fast wireless connectivity, stable operation, and responsive processing for everything 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.

【Diverse Sensor Ecosystem】Built with a diverse array of sensors for distance measurement, tracking, and environmental perception, enabling accurate, intelligent interaction with the physical world.

【Infinite Build Possibilities & Comprehensive】TutorialsFeatures a rich collection of creative build designs accompanied by step-by-step guides and structured tutorials, helping projects progress smoothly from basic construction to advanced applications.

【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.

【ROS2 & High-Performance Hardware】 ROSOrin runs on ROS2, compatible with Jetson and Raspberry Pi. It features LiDAR, a 3D camera, and a six-microphone array for tasks like mapping and navigation, 3D recognition, and voice interaction.

【Multimodal Large AI Model & OpenClaw】 Multimodal large AI model deployment and deep OpenClaw agent integration unlock advanced embodied intelligence. This enables cross-platform collaboration, proactive responsiveness, and spatial vector memory for advanced robotic applications.

【Versatile Chassis Expansion】 Switches between Mecanum, Ackermann, and differential drive chassis, paired with a swing arm suspension system for stable movement and precise control on complex terrains.

【AI Vision Algorithms】 Equipped with YOLO26, OpenCV, MediaPipe, and KCF algorithms, ROSOrin delivers powerful visual perception for advanced applications like autonomous driving, face recognition, and target tracking.

【Learning Resources】 Includes comprehensive tutorials, source code, and AI project examples from beginner to advanced, everything needed to move from first build to advanced ROS robot applications.

【Raspberry Pi 5 & ROS2 Robot Car】 LanderPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.

【Multiple Chassis Configurations】 LanderPi robot supports Mecanum-wheel, Ackermann chassis, and tank chassis, allowing flexibility for various applications and meeting diverse user needs.

【High-Performance Hardware】Equipped with DC gear encoder motors, TOF lidar, 3D depth camera, 6DOF Robotic Arm, and other advanced components to ensure optimal performance and efficiency.

【AI Advanced AI Capabilities】 LanderPi Raspberry Pi car supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.

【Autonomous Driving with Deep Learning】Utilizes the YOLOv8 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.

【Empowered by Large AI Model, Human-Robot Interaction Redefined】LanderPi deploys multimodal models with ChatGPT at its core, integrating 3D vision robotic arm and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.

【AI-Driven & Raspberry Pi-Powered】Hiwonder ArmPi Ultra is a ROS robot with 3D vision robot arm developed for STEAM education. It's powered by RPi and compatible with ROS2. With Python and deep learning integrated, ArmPi Ultra is ideal for developing AI projects.

【AI Robotics with High-Performance】 ArmPi Ultra features six intelligent serial bus servos with a torque of 25KG. The robot is equipped with a 3D depth camera, a WonderEcho AI voice box, and integrates Multimodal Large AI Models, enabling a wide variety of applications, such as 3D spatial grabbing, tracking and sorting, scene understanding, and voice control.

【Depth Point Cloud, 3D Scene Flexible Grabbing】ArmPi Ultra is equipped with a high-performance 3D depth camera. Based on the RGB data, position coordinates, and depth information of the target, combined with RGB+D fusion detection, it can realize free grabbing in 3D scenes and other AI projects.

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

【Advanced Technologies & Comprehensive Tutorials】With ArmPi Ultra, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLO26, MediaPipe, Large AI models, robotic inverse kinematics, MoveIt, Gazebo simulation, and voice interaction. We provide learning materials and video tutorials to guide you step by step, ensuring you can confidently develop your AI-powered robotic arm.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi T1 is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.

【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.

【Advanced AI Capabilities】 Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.

【Autonomous Driving with Deep Learning】 Utilizes YOLOv11 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.

【Empowered by Large AI Model, Human-Robot Interaction Redefined】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.