TonyPi Pro with Raspberry Pi 5 (2GB)
- Raspberry Pi 5 (2GB) + Dual-Controller Design – Raspberry Pi 5 primary controller paired with a dedicated MCU for high-frequency servo control; Python open-source with inverse kinematics algorithms.
- 20DOF Humanoid Structure – 18 high-voltage intelligent bus servos in the body + 2DOF head + expandable open-close robotic hands (2DOF); 66mm hand opening for flexible object grasping and sorting.
- ChatGPT Multimodal AI Integration – Powered by OpenAI ChatGPT for semantic understanding, scene perception, and physical execution; supports online API and future offline deployment.
- 2DOF HD Camera + OpenCV Vision – Head-mounted wide-angle HD camera supports color recognition, target tracking, ball kicking, line following, face detection, April Tag recognition, and MediaPipe gesture control.
- Comprehensive Learning Resources – Tutorials covering motion control, OpenCV, deep learning, MediaPipe, AI large models, voice interaction, and sensor applications; WonderPi app (iOS/Android) included.
- Trusted dealerDirect manufacturer partnership
- Pan-India deliveryInsured shipping, all states
- Post-sale supportTraining + service included
What makes it work
Hiwonder TonyPi Pro
AI Humanoid Robot — Raspberry Pi 5 (2GB)
TonyPi Pro is an AI-powered humanoid robot built on the Raspberry Pi 5. It features high-voltage intelligent serial bus servos and an HD camera. With support for Python programming, TonyPi Pro can carry out tasks such as color recognition, target tracking, ball shooting, line following, somatosensory control, and a variety of creative AI-interactive games. TonyPi Pro also leverages a Multimodal AI Large Model to support more advanced embodied AI applications — with ChatGPT at the core of its interaction system, it delivers a seamless, intuitive human-machine interaction experience.
- ✅ Al-Driven, Raspberry Pi 5 Powered — flexible development platform for advanced AI robot education
- ✅ 20 DOF total: 18 high-voltage bus servos + 2DOF head + 2DOF expandable open-close robotic hands (66mm)
- ✅ ChatGPT multimodal AI: semantic understanding → physical execution · OpenRouter VLM for scene analysis
- ✅ AI Voice Interaction: wake word, TTS, ChatGPT-powered natural language command execution
- ✅ Autonomous stair climbing — OpenCV detects stair position and geometric contours for auto-navigation
- ✅ Hurdle crossing and line patrol with real-time obstacle avoidance via semantic + vision fusion
- ✅ Hand-eye coordination: OpenRouter VLM identifies target → arm picks up and transports to designated location
- ✅ Ball kicking: LLM semantic targeting + PID vision tracking → precise autonomous ball kicking
- ✅ IMU posture detection · Temperature & humidity sensor · Anti-stall servo protection
- ✅ Extensive open-source tutorials: motion control, OpenCV, MediaPipe, ChatGPT integration, voice, sensors
| Specification | Details |
|---|---|
| Controller | Raspberry Pi 5 (2GB) + MCU dual-controller design |
| Total DOF | 20 DOF — 18 body servos + 2DOF head + 2DOF expandable robotic hands |
| Servos | 18 high-voltage intelligent serial bus servos — fast response, anti-stall protection, precise multi-joint coordination |
| Robotic Hands | Expandable open-close robotic hands; 66mm max opening; hand-eye coordination for grasping & transport |
| Camera | HD wide-angle camera on 2DOF head — color recognition, tracking, FPV |
| AI Model | ChatGPT multimodal model — semantic understanding, scene analysis, voice to physical action; supports OpenRouter VLM |
| Voice | High-performance AI voice interaction module — wake word, TTS, semantic understanding, physical execution |
| AI Vision | Color recognition, target tracking, ball kicking, line following, face detection, April Tag, MediaPipe gesture |
| Advanced Actions | Autonomous stair climbing, hurdle crossing, visual line patrol, hand-eye coordinated pick & place |
| Sensors | IMU sensor for real-time posture detection; temperature & humidity sensor (advanced kit) |
| Programming | Python open-source; OpenCV; inverse kinematics algorithm; full annotated source code |
| Control | WonderPi app (iOS/Android); PC software; wireless handle (group control mode) |
| Tutorials | Motion control, OpenCV, deep learning, MediaPipe, AI large models, voice, sensor applications — video + text |
ChatGPT at the Core — Perception, Reasoning, and Action
TonyPi Pro integrates a Multimodal Large AI Model and supports online deployment via OpenAI's API, enabling real-time access to advanced AI capabilities. At its core, TonyPi Pro is designed as an all-in-one interaction hub built around ChatGPT, enabling sophisticated embodied AI use cases and creating a smooth, intuitive human-machine interaction experience.
With the integration of the ChatGPT Large Model, TonyPi Pro operates like a 'super brain' — capable of comprehending diverse user commands and responding intelligently and contextually. Leveraging the multimodal model, TonyPi Pro is capable of recognizing and analyzing objects within its field of view, understanding user commands, and executing corresponding physical actions and responses.
TonyPi Pro is equipped with a high-performance AI voice interaction module. Unlike conventional AI systems that operate on unidirectional command-response mechanisms, TonyPi Pro leverages ChatGPT to enable a cognitive transition from semantic understanding to physical execution, significantly enhancing the fluidity and naturalness of human-machine interaction.
Open-Close Robotic Hands with 66mm Grip Range
TonyPi Pro features 20 total degrees of freedom — 18 high-voltage intelligent bus servos provide rapid response times and stable output, enabling precise multi-joint coordination and complex motion control for accurate humanoid postures and interactive movements. The additional 2DOF open-close robotic hands (66mm max opening) enable intelligent grasping, sorting, and a wide range of interactive AI functions.
With semantic understanding powered by the large language model, TonyPi Pro can lock onto a target based on voice commands, adjust its posture in real time using IMU feedback, and precisely execute ball tracking and kicking actions. Powered by the OpenRouter vision language model, TonyPi Pro can identify target objects within its view, assess their relative positions, and transport them to a designated location based on user commands.
Autonomous Stair Climbing, Hurdle Crossing & Line Patrol
TonyPi Pro leverages the OpenCV vision library to precisely detect the spatial position and geometric contours of stairs within its view. With autonomous decision-making, it can efficiently and steadily climb stairs on its own. Using the OpenCV vision library, TonyPi Pro can seamlessly detect hurdles and stairs in real-time during its line-following process, capturing essential details like coordinates and geometric contours to navigate obstacles autonomously.
Utilizing semantic understanding from a large language model, TonyPi Pro can accurately detect and track lines of various colors in real time while autonomously navigating obstacles, ensuring smooth and efficient patrolling. The advanced gait system supports a wider range of motion — enabling tasks like autonomous hurdle-crossing and stair climbing — ideal for research in dynamic humanoid locomotion.
- Autonomous stair climbing via OpenCV vision detection
- Real-time hurdle and obstacle recognition
- Multi-color line following with obstacle avoidance
- MediaPipe-based human body tracking and gesture control
High-Performance AI Vision with Raspberry Pi 5
Hiwonder TonyPi Pro is a high-performance AI vision robot built for AI education, powered by 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. Hiwonder TonyPi Pro provides extensive learning materials and video tutorials to guide you from foundational concepts to advanced practices, helping you develop your own AI humanoid robot.
TonyPi Pro's 18 high-voltage intelligent serial bus servos deliver rapid response times and stable output, enabling precise multi-joint coordination. The anti-stall protection prevents burn-out during collisions — dramatically extending servo lifespan compared to standard designs. Real-time voltage display on the robot's body ensures you always know the battery status during operation. The dual-controller design (RPi 5 + MCU) allows the AI computing tasks and servo control tasks to operate concurrently without interference.
- Raspberry Pi 5 — latest RPi platform with superior performance for AI models
- 18 high-voltage intelligent bus servos with anti-stall protection
- Real-time voltage display on robot body — always monitor battery status
- Dual-controller design: RPi 5 for AI + MCU for high-frequency servo control
- OpenCV image processing + inverse kinematics — core of all vision functions
- ChatGPT multimodal AI: semantic understanding → physical action execution
- WonderPi app (iOS/Android) · PC software · Wireless handle group control
10+ AI Games & Comprehensive Tutorial Curriculum
TonyPi Pro supports a comprehensive range of AI vision games and applications: color recognition and tracking, target tracking, ball kicking (PID + large language model targeting), visual line following (multi-color), face detection and tracking, April Tag recognition, MediaPipe-based human body tracking, hand detection, 3D posture detection, gesture recognition, and somatosensory control. All functions are achieved through Python and OpenCV without cloud dependency.
TonyPi Pro includes extensive tutorial resources covering: humanoid motion control and inverse kinematics, OpenCV-based AI vision projects, deep learning with MediaPipe, ChatGPT multimodal AI integration, AI voice interaction setup, IMU sensor applications, temperature and humidity sensor integration, and sensor expansion. All tutorials include open-source Python source code, circuit schematics, and video lessons by real instructors. Full documentation: wiki.hiwonder.com/projects/TonyPi.
TonyPi Pro — AI Humanoid Robot with ChatGPT & 20DOF
What's the difference between TonyPi Pro 2GB and higher RAM variants?
How does ChatGPT voice interaction work on TonyPi Pro?
Can TonyPi Pro climb stairs autonomously?
What AI vision capabilities does TonyPi Pro have?
What tutorials are included with TonyPi Pro?
The full sheet
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