Hiwonder TonyPi AI Humanoid Robot Powered by Raspberry Pi 5 with Multimodal Model (ChatGPT) Integration, AI Vision, and Voice Interaction

Name: Hiwonder TonyPi AI Humanoid Robot Powered by Raspberry Pi 5 with Multimodal Model (ChatGPT) Integration, AI Vision, and Voice Interaction
Brand: Ashid Home Store
Availability: InStock

Rs. 0.00

This is a pre order item. We will ship it when it comes in stock.(USUAL LEAD TIMES: 15 DAYS)

PLEASE CHOOSE YOUR REQUIRED CONFIGURATIONA AND CONTACT US FOR PRICING:

For the Hiwonder TonyPi AI Humanoid Robot, the available configurations shown are:

TonyPi Model Options

TonyPi Standard Kit
TonyPi Advanced Kit

Controller Options

Raspberry Pi 4B (4GB)
Raspberry Pi 5 (2GB)
Raspberry Pi 5 (4GB)
Raspberry Pi 5 (8GB)

Product Description

Hiwonder TonyPi 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 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 also leverages a Multimodal Large AI Models to support more advanced embodied AI applications. To help you unlock its full potential, Hiwonder offers comprehensive tutorials designed to inspire and support your AI-driven creative projects.

18DOF AI Humanoid Robot

Hiwonder 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 AI humanoid robot 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

Hiwonder 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 AI robot 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 humanoid robot 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 AI vision robot 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 AI humanoid robot 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 robot integrates a Multimodal Large AI 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 Vision Language Model applications. At its core, TonyPi humanoid AI robot 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, Hiwonder TonyPi is capable of semantic understanding and executing corresponding actions, enabling smooth and natural voice control.

Scene Understanding

Leveraging OpenAI's ChatGPT model, TonyPi RPi humanoid robot 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 AI robot 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, Hiwonder 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 humanoid robot 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 Home 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, Hiwonder 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.

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

Specification Parameters

Size:	373186106mm (14.69x7.32x4.17inches)
Weight:	About 1800g
Camera pixel:	480P
Material:	hard aluminium alloy
DOF:	18DOF(Standard/Advanced Kit); 20DOF(Pro Kit)
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:	473318cm
Package weight:	About 2.9kg