hiwonder

【Raspberry Pi & ROS1/ROS2 Compatible】 PuppyPi is an AI vision robot dog built for education and development. Powered by a Raspberry Pi 5 and fully compatible with ROS1 and ROS2, it enables efficient AI computing and versatile robotics projects through Python. Complete source code and documentation included to help you build and customize your own intelligent robot dog.

【Multimodal AI & Enhanced Human Robot Interaction】 PuppyPi integrates a multimodal model, featuring ChatGPT at its core for advanced human-robot interaction. Enhanced with AI vision, it delivers improved perception, reasoning, and action, creating a more natural and flexible interaction experience!

【High-Torque Smart Servos & Inverse Kinematics】 PuppyPi is equipped with 8 high-torque stainless steel gear servos, offering faster response times and stable output. The robot's legs use a link structure design combined with inverse kinematics algorithms to enable coordinated multi-joint movement and precise motion control.

【AI Vision Recognition & Tracking】 PuppyPi features a high-definition camera that enables a variety of AI vision capabilities, including color recognition, target tracking, face detection, ball kicking, line following, and MediaPipe gesture control.

【Lidar & Robotic Arm Expansion】 PuppyPi quadruped robot supports TOF Lidar and robotic arm expansion. It can perform 360° environmental scanning, SLAM navigation, and dynamic obstacle avoidance. Additionally, Hiwonder PuppyPi can precisely grasp objects, opening up opportunities for advanced AI applications.

【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.

【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】 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.

【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.

【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.

【Al-Driven and Raspberry Pi Powered】 Hiwonder TonyPi Pro is a high-performance AI vision robot built for AI education, powered by a Raspberry Pi 5 and integrated with OpenCV image processing and inverse kinematics algorithms. Fully open-source, it offers a flexible development platform ideal for robot learning and advanced AI robot development.

【Large AI Models & Human Machine Interaction】 TonyPi Pro robot integrates a multimodal AI models, powered by ChatGPT, to enhance human robot interaction. Combining AI vision and voice interaction, TonyPi excels in robust perception, reasoning, and action for embodied AI applications—delivering a seamless, intuitive human-machine interaction experience!

【High-Voltage Intelligent Bus Servos】 Equipped with 18 high-voltage intelligent bus servos, TonyPi Pro offers rapid response times and stable output, enabling precise multi-joint coordination and complex motion control. This ensures accurate humanoid postures and interactive movements to meet a variety of demands.

【Upgraded Hand-Eye Coordination & Dynamic Gait】 TonyPi Pro features enhanced open-close robotic hands and AI-powered vision, allowing it to grasp and transport objects with greater flexibility. Its advanced gait system supports a wider range of motion, enabling tasks like autonomous hurdle-crossing and stair climbing—ideal for exploring creative AI applications.

【Comprehensive Learning Resources】 TonyPi offers a rich array of educational content, including resources on robotic motion control, OpenCV, deep learning, MediaPipe, AI large models, voice interaction, and sensor applications. Hiwonder TonyPi Pro provide extensive learning materials and video tutorials to guide you from foundational concepts to advanced practices, helping you develop your own AI humanoid robot.

【High-quality vibration reduction effect】 The chassis incorporates an 8-channel high-elasticity carbon steel tension spring and is equipped with micro bearings, ensuring agile maneuverability across diverse terrains.

【Strong robot tank bracket】 The main body is crafted from aluminum alloy and undergoes an anodized surface treatment, resulting in an exquisite appearance. The top layer can be easily removed, facilitating DIY development.

【More extended functions】 Bracket contain multiple expansion ports and are fully compatible with popular controllers on the market such as Jetson Nano, Raspberry Pi, Arduino ect. You also can add multiple sensors and servos to create your robot.

【Application】 This it is perfect for hobbyists, educational, competitions and research projects. Many schools or education departments choose this car chassis for school students to learn AI robot knowledge.

【Version Difference】 The standard version is a single layer Track chassis; The advanced version is the double layer Track chassis.

【Raspberry Pi 5 & ROS2 Platform】TurboPi runs on the ROS2 operating system and leverages Python and OpenCV to deliver efficient AI processing and a wide range of robotic applications.

【Multimodal Large AI Model ChatGPT & OpenClaw】With an integrated multimodal large AI model and OpenClaw, TurboPi supports smart conversations, environment awareness, and flexible task execution for richer human-machine interactions.

【AI Vision & Autonomous Driving】Equipped with a 2DOF HD camera, TurboPi offers FPV video feedback, object and color recognition, line following, and autonomous driving features—perfect for creative AI projects.

【360° Omnidirectional Movement & 2-DOF Robotic Arm】Featuring a robust metal chassis and Mecanum wheels, TurboPi pairs with a 2DOF robotic arm to smoothly execute complex, dynamic transporting tasks across all scenarios.

【Comprehensive Code & Learning Resources】 We provide full Python source code, diverse experiment examples, and detailed course materials to support your journey in mastering AI and programming while inspiring endless innovation.

【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.

【Raspberry Pi Robotic Hand】 Hiwonder uHandPi integrates the robust Raspberry Pi 5 with the advanced OpenCV vision library, creating an AI-driven robotic hand that seamlessly merges cutting-edge vision capabilities with superior precision and performance.

【Innovative Self-Developed Linkage Structure】 Designed with Hiwonder's proprietary linkage structure, uHandPi mirrors the natural movements of the human hand, allowing it to execute delicate tasks with remarkable accuracy, making it perfect for a wide variety of operations.

【AI Vision Cutting-Edge Features】 Boasting a suite of advanced features, including color recognition, face detection, gesture recognition, and object tracking, uHandPi elevates the user experience with intuitive and responsive human-machine interaction.

【Machine Learning & Interactive Fun】 Powered by MediaPipe, Hiwonder uHandPi enables the training and deployment of diverse human machine interaction models. It delivers innovative AI-driven experiences—such as interactive Rock-Paper-Scissors—bringing intelligence and engagement to real-world applications.