AI Intelligent Visual Humanoid Robot – Raspberry Pi Powered Educational STEM Learning Assistant

The AI Intelligent Visual Humanoid Robot, also known as TonyPi, is a state-of-the-art educational robot designed for hands-on learning in artificial intelligence, computer vision, robotics, and programming. Built around the powerful Raspberry Pi 4B/5 and equipped with 18 Degrees of Freedom (DOF), this humanoid robot supports AI vision, ChatGPT integration, voice interaction, and a full suite of programmable features—making it an exceptional tool for project-based learning in classrooms, STEM labs, or at home.

Whether for advanced middle-schoolers, high school students, or hobbyist adults, TonyPi offers a real-world application of multimodal AI and intelligent robotics in one cohesive and powerful platform.

Educational Value & Learning Outcomes:

Hands-On STEM Education: Provides an immersive experience in coding, electronics, mechanics, and AI through real-time robot assembly and programming.

Artificial Intelligence Understanding: Introduces students to machine vision, object recognition, semantic analysis, and natural language processing using ChatGPT and OpenAI APIs.

Python Programming Practice: Supports Python development, allowing learners to create custom scripts, control sensors, and design interaction logic.

Problem Solving & Critical Thinking: Activities such as object tracking, ball shooting, and voice-guided missions challenge students to design solutions and think algorithmically.

Multimodal Learning Approach: Enhances understanding through the use of text, visuals, code, and real-world physical interactions.

Project-Based Learning: Ideal for school competitions, science fairs, AI workshops, and personal learning journeys in robotics.

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Key Features:

Advanced Hardware Platform:

Powered by Raspberry Pi 4B/5

HD Wide-Angle Camera for real-time visual recognition

11.1V 2000mAh Lithium Battery – Approx. 60 mins of operation

IMU Sensor for real-time balance and posture detection

18 DOF: Includes 16 bus servos in the limbs and 2 DOF in the head for fluid movement

Made of durable metal construction

Smart AI Capabilities:

Integrated with ChatGPT and other multimodal AI models via OpenRouter

Voice recognition and response with semantic understanding

Scene interpretation and contextual visual analysis

Self-balancing movement using IMU sensors

Object tracking, posture detection, and environmental sensing

Vision-Based Intelligence:

Uses OpenCV for image processing

Performs color recognition, line following, and object detection

Capable of autonomous ball tracking and shooting

Interaction Modes:

Voice Control: Recognizes and interprets user speech commands

App Control: WonderPi App for Android/iOS provides remote control and mode switching

PC Remote Control: Easily configurable over LAN for advanced interaction

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Real-World Applications & Projects:

Ball Tracking and Auto Shooting: Detects ball position, tracks it using PID algorithms, and kicks with precision

Autonomous Patrolling: Follows colored lines while avoiding obstacles

Smart Object Transport: Identifies and moves target objects based on user input

Scene Understanding: Analyzes camera input and provides relevant verbal or text feedback

Temperature & Humidity Monitoring: Reports live environmental data with voice explanation

Interactive AI Games: Engage students in real-time games that blend education with fun

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Specification	Details
Age Range	7 to 13 Years, 14 Years & up
Battery	11.1V 2000mAh 10C Lithium Battery
Camera	480P HD Wide-Angle
Material	Metal
Size	373 × 186 × 106 mm (14.69 × 7.32 × 4.17 in)
Weight	Approx. 1800g
Connectivity	Wi-Fi and Ethernet
Software	WonderPi App + PC Software
Servo Type	Intelligent High-voltage Bus Servos
Control System	Raspberry Pi 4B/5 with expansion board
Working Time	Approx. 60 minutes

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Technical Specifications:

 

Included in the Box:

Assembled TonyPi Robot with all servos

Pre-installed Raspberry Pi (4B or 5, based on model)

HD Camera Module

Lithium Battery

Charging Cable

Setup Tools and Accessories

Instruction Manual

Downloadable Tutorials & Code Resources

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Who Is It For?

Educators integrating AI & robotics in classrooms

STEM-focused extracurricular programs

Students preparing for science and technology competitions

DIY hobbyists and tech-savvy parents

Homeschoolers and education centers seeking hands-on learning

 

 

18DOF AI Humanoid Robot

TonyPi features 18 degrees of freedom (DOF), with 16 intelligent bus servos integrated into its body and 2 DOF in its head. This configuration enables precise motion control and flexible vision exploration.

 

Powered by Raspberry Pi

TonyPi utilizes the Raspberry Pi 5 as its primary controller, and comes equipped with an HD camera and a high-capacity lithium battery. Its robust hardware architecture supports diverse AI interaction capabilities.

Dual-Controller Design for Efficient Collaboration

AI Vision, Unlimited Creativity

TonyPi is equipped with a HD wide-angle camera on its head, enabling real-time image acquisition and processing using the OpenCV vision library. It can detect and extract parameters such as the color and position of target objects within its field of view. The system supports a range of vision-based functions, including video streaming, color recognition, tag identification, and visual line following. By applying a PID control algorithm, TonyPi achieves real-time target locking, enabling advanced AI applications such as target tracking and autonomous ball kicking.

 

Object Tracking

Powered by the OpenCV vision library, TonyPi can detect and locate objects of a specific color in real-time. Using PID control, its head can actively track moving targets with precision.

 

Tag Recognition

Using OpenCV algorithms, TonyPi can recognize and interpret tag codes within its field of view. It can also calculate each tag’s position and orientation, allowing users to program customized interactive movements.

 

Face Detection

TonyPi features a built-in MediaPipe deep learning algorithm that works with a high-definition camera to accurately detect and lock onto human face. Users can program TonyPi to perform responsive actions based on facial detection.

 

Visual Line Following

With AI vision and PID motion control, TonyPi can identify colored lines in its view and autonomously adjust its gait to follow the path smoothly and stably.

 

Multimodal Models Deployment

TonyPi integrates a Multimodal AI Large Model and supports online deployment via OpenAI's API, enabling real-time access to advanced AI capabilities. It also allows seamless switching to alternative models, such as those available through OpenRouter, to support Visual Language Model applications. At its core, TonyPi 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!

Large Model Embodied AI Applications

The Advanced Kit is equipped with a high-performance AI voice interaction module. Unlike conventional AI systems that operate on unidirectional command-response mechanisms, TonyPi leverages ChatGPT to enable a cognitive transition from semantic understanding to physical execution, significantly enhancing the fluidity and naturalness of human-machine interaction. Combined with machine vision, TonyPi exhibits advanced capabilities in perception, reasoning, and autonomous action—paving the way for more sophisticated embodied AI applications.

 

Voice Control

Powered by ChatGPT, TonyPi is capable of semantic understanding and executing corresponding actions, enabling smooth and natural voice control.

 

Scene Understanding

Leveraging OpenAI’s ChatGPT model, TonyPi is capable of understanding user commands and performing semantic analysis of visual scenes within its field of view. It can interpret image content and features, delivering contextual feedback via both text and speech.

 

Ball Tracking and Shooting

With semantic understanding powered by a large language model, TonyPi can lock onto a target based on commands, adjust its posture in real time, and precisely execute ball tracking and kicking actions.

 

Autonomous Patrolling

Utilizing semantic understanding from a large language model, TonyPi can accurately detect and track lines of various colors in real time while autonomously navigating obstacles, ensuring smooth and efficient patrolling.

 

Object Transport

Powered by the OpenRouter vision language model, TonyPi can identify target objects within its view, assess their relative positions, and transport them to a designated location based on user commands.

 

Post Detection

TonyPi continuously reads IMU sensor data, which is analyzed by a large model to determine its current posture. Based on commands, it can adjust its stance, allowing the robot to stand up or lie down as needed.

 

Smart Assistant

Leveraging the multimodal model deployed on its body, TonyPi is capable of recognizing and analyzing objects within its field of view. Combined with ChatGPT, it can understand user commands and execute corresponding actions and responses.

 

Temperature Reporting

Equipped with a temperature and humidity sensor, TonyPi can continuously monitor environmental conditions, gather real-time data, and use semantic understanding powered by a large language model to report the current temperature and humidity.

 

Auto Shooting

Perform image processing through OpenCV to obtain the ball's position, and then use PID algorithm to track and kick it automatically.

 

Intelligent Transport

TonyPi can visually identify the distance of the item, and finally move the target item to the designated tag.

 

APP Control

 

WonderPi APP supports Android and iOS. Switch game modes easily and quickly to experience various AI games.

 

PC Remote Control

We can quickly connect the WonderPi configuration to the wireless LAN, which is more convenient for you to remotely connect and control TonyPi Pro.

 

PC Software Control

With the graphical PC software, you can control the rotation of the robot servo by dragging the slider without code, and can edit the robot action group.

 

Real-time Voltage Display

 

 

TonyPi can display the current voltage size, which is convenient to keep an eye on the robot's battery level in real time.

 

 

Support Self-balancing Built-in IMU Sensor

The core controller of the robot is equipped with IMU sensors, which can sense the robot's body attitude in real time and detect the direction of travel.

 

Unlimited Expansion

TonyPi can be expanded with various electronic modules to open up diverse interesting robot games.

Intelligent High-voltage Bus Servo & Anti-blocking Servo

 

Abundant Application Scenes

Size:	373*186*106mm (14.69x7.32x4.17inches)
Weight:	About 1800g
Camera pixel:	480P
Material:	hard aluminium alloy
Battery:	11.1V 2000mAh 10C lithium battery
Working hour:	About 60mins
Hardware:	Raspberry Pi 5 and Raspberry Pi expansion board
Software:	APP+PC software
Communication:	WiFi, Ethernet
Servo:	LX-824HV bus serve/ LFD-01M anti-blocking servo
Package size:	56*36*31cm
Package weight:	About 3.9kg

TonyPi Standard Packing List

TonyPi Advanced Packing List

 

• Supervised Use – Always supervise young children while playing with STEM and Montessori toys to ensure safe and proper use.
• Cleaning & Maintenance – Wipe wooden, plastic, and electronic parts with a soft, damp cloth. Avoid soaking in water or using harsh chemicals.
  
• Storage – Store toys in a cool, dry place away from direct sunlight to maintain durability and color.
  
• Battery-Operated Items – Remove batteries when not in use for long periods to prevent leakage and damage.
  
• Assembly & Parts – Ensure all parts are securely attached before play. Small components should be kept out of reach of children under 3 years old.
  
• Longevity – Encourage gentle handling to extend the life of educational kits and ensure consistent learning value.
  
• Age Appropriateness – Follow the recommended age guidelines for each toy to provide the safest and most effective learning experience.

At  Kidz Garage,  we're committed to getting your orders to you as quickly as possible while ensuring the highest level of quality and care. Below, you'll find important information about our shipping process:

Processing Time:

• Orders are typically processed within 1-2 business days from the date of purchase.
• Please note that processing times may be slightly longer during peak seasons or special promotions.

Shipping Time:

• We aim to deliver your order within 7 - 14 business days from the date of processing.
• Delays in shipping may occur due to unforeseen circumstances, such as weather disruptions, public holidays, or other logistical issues. In such cases, we'll do our best to keep you informed and updated.