Products

【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.

【Humanoid Robot with ESP32】 Powered by ESP32 and intelligent servos, Tonybot smart humanoid robot delivers smooth, dynamic performance. No coding required, Hiwonder's app puts complex robot movements like walking, dancing, and gymnastics at your fingertips.

【Multimodal Large AI Models】 Powered by an AI model module that combines language, voice, and vision models, Tonybot Ultimate Kit unlocks advanced embodied AI functions such as natural conversation and scene understanding.

【Offline Vision & Voice Interaction】 Equipped with an ESP32-S3 vision module and voice interaction module, Tonybot enables offline face recognition, target tracking, visual line following, voice control, and more.

【Expandable AI Development with Sensors】 Tonybot comes with an ultrasonic sensor, IMU sensor, buzzer, and supports modules like dot matrix display, fan, temp/humidity sensors, and WiFi for endless AI-driven development.

【Multiple Programming Options & Comprehensive Tutorials】 Compatible with Arduino, Scratch, and Python, with open-source low-level code and step-by-step tutorials covering everything from beginner learning to advanced humanoid robot development.

【Al-Driven and Raspberry Pi Powered】 Hiwonder TonyPi is a high-performance AI vision robot designed for AI education applications. It is powered by the Raspberry Pi 5, integrated with an OpenCV image processing library and robotic inverse kinematics algorithms. Offering open-source access, TonyPi provides a flexible development environment that supports advanced AI robot development.

【Large AI Model Integration for Enhanced Human-Machine Interaction】 TonyPi incorporates a multimodal models, with ChatGPT at the core of its interaction system. Coupled with AI vision and voice interaction, TonyPi excels in perception, reasoning, and action, enabling advanced embodied AI applications and delivering a seamless, intuitive human-machine interaction experience!

【High-Voltage Intelligent Bus Servos】Equipped with 16 high-voltage intelligent bus servos, TonyPi humanoid robot offers rapid response, stable output, precise multi-joint coordination and complex motion control. The accurate humanoid postures and interactive movements make TonyPi ideal for education, research, and human robot interaction applications.

【AI Vision Recognition and Tracking】 TonyPi's 2DOF head is fitted with an HD camera that provides a wide field of view. It supports a range of AI vision capabilities, including color recognition, target tracking, ball kicking, line following, and MediaPipe-based motion control for interactive AI applications.

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

【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.

Provide detailed learning tutorials