Hiwonder TonyPi Pro AI Humanoid Robot with Raspberry Pi 5

Hiwonder 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 AI humanoid robot 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 robot also leverages a Multimodal AI Large Model to support more advanced embodied AI applications. To help you unlock its full potential, Hiwonder robot offers comprehensive tutorials designed to inspire and support your AI-driven creative projects.
 
🤖 1. Platform & Hardware
Powered by Raspberry Pi 5 — uses a Raspberry Pi 5 board as its main controller (often includes 8 GB RAM option).
High-Performance Servos — equipped with 18+ high-voltage intelligent bus servos for precise, stable multi-joint motion control.
Degrees of Freedom (DOF) — 18 DOF standard + 2 DOF open-close hands; total 20 DOF enabling expressive humanoid movement.
Battery & Operation — comes with a lithium battery (~11.1 V, ~2000 mAh) giving about 60 minutes working time.
Sensors — includes temperature/humidity sensors, ultrasonic range sensor, touch sensors, and more for richer interaction.
 
👁️‍🗨️ 2. Vision & AI Capabilities
HD Camera Vision — wide-angle camera with real-time image capture and processing using OpenCV.
Object & Tag Recognition — detect objects by color, recognize coded tags, and calculate position/orientation.
Face Detection & Interaction — media pipe deep learning algorithms to locate/track faces.
Visual Line Following — robot autonomously follows colored lines with stable gait adjustments.
 
🧠 3. Multimodal AI & Interaction
ChatGPT & Large Models — integrates OpenAI’s (and optionally other) large models for natural language understanding and response — enabling voice interaction, scene understanding, and semantic commands.
Voice Control — accepts spoken commands and provides natural responses/actions powered by AI voice modules.
Scene Understanding — interprets visual scenes and semantics, combining vision + language.
 
🏃 4. Motion & Behavior
Hand-Eye Coordination — robotic hands can open/close (~66 mm) and grasp/sort objects intelligently using vision.
Dynamic Gait — can handle uneven surfaces, detect and climb stairs, navigate hurdles autonomously.
Ball Tracking & Shooting — vision-guided ball tracking plus automated shooting/kicking.
Autonomous Patrol & Transport — navigate environments, transport objects to targets.
Posture Detection — reads IMU sensor to keep track of and correct its stance.
 
🧪 5. Programmability & Control
Python & Open-Source Support — fully programmable with Python and offers open-source access for deeper customization.
Control Interfaces
Mobile App (Android/iOS) for quick game and mode switching.
PC Remote & Software — remote control and GUI servo configuration/editing action sequences.
Wireless Handle — optional gamepad-style controller for neat group movement control.
 
📚 6. Learning & Education
Extensive Tutorials & Resources — covers OpenCV, machine vision, AI models, voice modules, sensor usage, robotics motion, and more.
Ideal for AI & Robotics Learning — suitable for students, hobbyists, and educators for building AI robotics skills.
 
📦 7. Practical Specs (Quick)
Size: ~373 × 186 × 106 mm.
Weight: ~1.8 kg.
Battery Life: ~60 min.
Connectivity: Wi-Fi & Ethernet.
Servo Types: LX-824HV bus servos & anti-blocking servos.
 
🧠 8. Key Use Cases
AI robotics experiments (vision, voice & language integration).
Interactive humanoid behavior demos.
Educational projects and classroom learning.
Object manipulation & autonomous navigation challenges.