Hiwonder

【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 & Voice Interaction】With an integrated multimodal large AI model and AI voice interaction capabilities, TurboPi supports smart conversations, environment awareness, and flexible task execution for richer human-machine ChatGPT / Gemini / Grok / Llama interactions.

【AI Vision & Autonomous Driving】 Equipped with a 2-DOF 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】 Featuring a robust metal chassis and Mecanum wheels, TurboPi can move in any direction and rotate on the spot, adapting smoothly to various 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.

【AI-Powered Vision Module】WonderLLM, powered by the ESP32-S3 chip, is compatible with the XiaoZhi AI platform and integrates multimodal AI models, enabling features like smart chat, emotion perception, semantic understanding, and scene understanding.

【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.

【Comprehensive Tutorials】Includes complete training materials from beginner to advanced levels, along with a wealth of practical case studies to help you quickly master AI model development.

【Drive by AI & Powered by K230】 Built on the K230 chip with 6TOPS equivalent AI performance—13.7× faster than K210—and supports 1-click AI training.

【30+ AI Vision Features】 Equipped with a 2MP HD camera and a touchscreen, the module can recognize objects, colors, humans, faces, digits, text, gestures, and more.

【Deploy AI Large Models】 Switch freely between Large Vision Models, Large Speech Models, and Large Language Models for smart chat, intelligent Q&A, text recognition, and image understanding.

【Multi-Controller Support】 Programmable with MicroPython and compatible with Arduino, Raspberry Pi, ESP32, and other controllers, supporting YOLOv11 deep learning for flexible AI expansion.

【Comprehensive Tutorials】 Packed with tutorials and AI project examples from beginner to advanced for fast hands-on learning.

【Vision AI, Powerful Computing Power】 Hiwonder WonderMV open source vision module is a powerful and cost-effective Al vision module. It is developed based on the K210 chip and supports 12 AI vision items such as color recognition, road sign recognition, vision line following, face recognition, mask recognition, and tag recognition function.

【Compatible with Various Controllers】 WonderMV vision module is equipped with a serial interface and can be used with various controllers such as STM32, Raspberry Pi, Arduino, Micro:bit, etc. Users can easily output vision recognition results to an external controller through the serial port, without the need to delve into complex vision algorithms, making it easy to create creative AI projects.