Robotics

【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.

【ESP32 Controller & Arduino Programming】 Hiwonder miniHexa is an open-source AI hexapod robot powered by ESP32 and fully compatible with Arduino programming. It features precise motion control and multiple expansion ports, making it ideal for function upgrades and secondary development.

【18DOF Structure, High-Speed Micro Servos】 miniHexa is equipped with 18 anti-stall micro servos—compact in size, fast in response, low-noise, and highly precise—delivering powerful, accurate control for executing complex movements with ease.

【Inverse Kinematics & Flexible Movement】 Utilizing cutting-edge inverse kinematics algorithms, miniHexa supports 360° omnidirectional motion. It effortlessly switches between postures, angles, and balance, enabling smooth and seamless action combinations.

【Versatile Sensor Expansion】 miniHexa supports a wide range of sensors, including Al vision, voice module, ultrasonic, touch sensor, matrix display, and more. It enables creative applications like color recognition, target tracking, face detection, voice control, and distance measurement.

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

【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.

【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.

【3 Flexible Programming Methods】 xArm AI supports Arduino, Scratch, and Python. With xArm AI Robot tutorials, users can easily master AI and programming skills while unlocking their creativity.

【Enhanced AI Interaction】 Equipped with the WonderCam AI vision module and WonderEcho AI voice interaction module, Hiwonder xArm AI enables color recognition, tag tracking, facial recognition, voice broadcasting, and voice control, opening up a world of advanced AI applications.

【Advanced Inverse Kinematics】 Hiwonder xArm AI features an intelligent serial bus servos and an advanced inverse kinematics algorithm, ensuring precise motion planning and smooth execution—even for complex tasks.

【Open for Secondary Development】 Powered by the CoreX Controller, the xArm AI offers multiple ports for servos, motors, and sensors, making it fully compatible with the Hiwonder sensor lineup and ideal for secondary development.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi A1 robot is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.

【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.

【High-Performance Hardware】 Equipped with closed-loop encoder motors, TOF lidar, 2DOF monocular camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.

【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi M1 robot, powered by a RPi 5 and compatible with ROS2, is programmed in Python, making it an excellent platform for developing AI robots.

【Built for Performance】 With closed-loop encoder motors, a TOF lidar, a 2DOF camera, and high-torque servos, the MentorPi car ensures optimal performance and efficiency for all your robotics projects.

【Unlock Advanced AI】 Explore a wide range of AI applications with features that include SLAM mapping, path planning, multi-robot coordination, vision recognition, and target tracking.

【Learn Autonomous Driving】 Utilize the YOLOv11 model for training the robot to recognize road signs and traffic lights, helping you explore and develop cutting-edge autonomous driving technologies.

【Raspberry Pi 5 & ROS2 Robot Car】 Powered by a Raspberry Pi 5 and ROS2, the MentorPi A1 robot is an ideal platform for AI robot development, programmed in Python.

【Built with Advanced Components】 Equipped with closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos for optimal performance.

【Advanced AI Capabilities】 Supports SLAM mapping, path planning, vision recognition, target tracking, and more for a wide range of AI applications.

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

【Human-Robot Interaction】 Empowered by a large AI model with ChatGPT at its core, MentorPi robot A1 uses 3D vision and AI voice to enhance its capabilities, enabling natural, context-aware human-robot interaction.

【Raspberry Pi 5 & ROS2】Powered by RPi 5 and compatible with ROS2, MentorPi car is an ideal platform for developing AI robots. The system is fully programmable in Python, making it accessible for a wide range of projects.

【Choose Your Chassis】 Whether you need the precision of an Ackermann chassis or the maneuverability of Mecanum wheels, MentorPi raspi car has you covered. Its flexible design lets you switch between configurations to fit your unique needs.

【Top-Tier Hardware Inside】 Packed with high-performance components like closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos, MentorPi RPi robot delivers speed and accuracy.

【Advanced AI】 From SLAM mapping and path planning to multi-robot coordination and vision recognition, MentorPi robot supports a wide range of AI applications.

【Autonomous Driving】 Utilize YOLOv11 model training to enable advanced autonomous driving features, including road sign and traffic light recognition. This provides an excellent platform for learning and developing autonomous driving.

【Advanced Interaction】 Hiwonder MentorPi deploys multimodal models with ChatGPT at its core. By integrating a 3D vision system and an AI voice interaction box, the robot gains enhanced perception, reasoning, and actuation. This enables advanced embodied AI applications and delivers natural interaction.

【Compatible with Arduino】 Features an Arduino UNO R3 controller and an expansion board, ensuring full compatibility with the Arduino programming. Hiwonder miniAuto car also provides ample expansion ports for secondary development.

【Vision Recognition & Tracking】 Equipped with an ESP32-S3 vision module, miniAuto supports WiFi video transmission and enables applications such as vision line following, AI face recognition, and color tracking.

【360° Omnidirectional Movement】 With Mecanum wheels, miniAuto can move in any direction, supporting various motion modes to navigate complex surfaces effortlessly.

【Autonomous Driving】 With a 4-channel line follower and the vision module, miniAuto can perform line following, crossroad recognition, traffic light detection, and more autonomous driving capabilities.

【Robot Gripper Expansion】 This robotic gripper expansion enables object transportation, line following, visual transport, and numerous other creative projects, taking your creativity to the next level.

【Driven by Coreless Servos】 Hiwonder MechDog is equipped with 8 high-speed coreless servos, providing exceptional torque, rapid response, robust force, and high accuracy. Its leg linkage structure enables swift, precise, agile and stable walking in any environment.

【Inverse Kinematics for Flexible Movement】 MechDog features built-in inverse kinematics that support real-time adjustments of walking direction, gait and posture, resulting in more flexible and lifelike movements.

【Cross-Platform Control with Multiple Programming Options】 Hiwonder MechDog supports control via PC software and a mobile app. It can be programmed using Python, Scratch, or Arduino, offering a variety of programming options.

【Extensive Expansion for Creativity】 MechDog can be enhanced with various sensors and electronic modules. It is also compatible with LEGO components, allowing for a broad range of creative applications.

【Arduino Programming, Open Source】 Hiwonder miniArm is built on Atmega328 platform and compatible with Arduino programming. With open source programs, detailed tutorials, and secondary development examples, miniArm is perfect for beginners to easily develop and program your robotic arm.

【High Performance Hardware, Support Sensor Expansion】 miniArm is equipped with a 6-channel knob controller, Bluetooth module, high-precision digital servos, and other hardwares. Moreover, it provides multiple expansion ports for sensor integration, including ESP32 Cam, accelerometer, touch sensor, glowy ultrasonic sensor, etc., empowering users to engage in secondary development for sonic ranging and pose control capabilities.

【Versatile Control Options】 Hiwonder miniArm supports app control, and users can utilize knob potentiometers for real-time knob control and offline action editing.

【Driven by Jetson Nano and high-voltage intelligent serial bus servos】 ROSPug is a smart quadruped robot dogdruped robot driven by Jetson Nano and built on the Robot Operating System (ROS). It is equipped with 12 high-voltage strong-magnetic intelligent serial bus servos, delivering high-precision performance, rapid rotation speed, and robust torque.

【AI Vision, Unlimited Creativity】 Hiwonder ROSPug is equipped with an HD wide-angle camera. It utilizes OpenCV library for efficient image processing, enabling a diverse range of AI applications, including target recognition, localization, line following, obstacle avoidance, face detection, ball shooting, color tracking and tag recognition.

【Various Control Methods and Live Camera Feed】 You can conveniently control ROSPug through WonderROS app available for Android and iOS devices, PC software, or a wireless PS2 handle. Additionally, ROSPug provides a FPV experience by transmitting the live camera feed to the app.

【Gait Planning, Free Adjustment】 ROSPug incorporates inverse kinematics algorithm offering precise control over the touch time, lift time, and lifted height of each leg. You can easily adjust these parameters to achieve different gaits, including ripple and trot. Additionally, ROSPug provides detailed analysis of inverse kinematics, along with the source code for the inverse kinematics function.

【Arduino Programming, Open Source】 Hiwonder uHand UNO is built on the Atmega328 platform and compatible with Arduino programming. The uHand UNO programs are open-source. With detailed tutorials and example projects for secondary development, users can easily customize and expand their robotic hand.

【High Performance, Support Sensor Expansion】 uHand UNO features a 6-channel knob controller, Bluetooth module, six anti-blocking servos, and other high-performance hardwares. With multiple expansion ports supporting sensors like ESP32 Cam, accelerometer, touch sensor, and RGB ultrasonic sensor, users can easily perform secondary development to enable sonic ranging, Bluetooth communication, and pose control.

【Versatile Control Options】 uHand UNO supports both app control and wireless glove control. Users can utilize knob potentiometers for real-time knob control and offline action editing.