Hiwonder TonyPi AI Humanoid Robot Powered by Raspberry Pi 5 with Multimodal Model Integration, AI Vision, and Voice Interaction (Advanced Kit with Raspberry Pi 4B 4GB)

Description TonyPi runs on Raspberry Pi 5 with OpenCV and inverse kinematics, offering open-source flexibility for advanced AI education and robotics development. With ChatGPT and AI vision, TonyPi supports multimodal interaction, enabling smart perception, reasoning, and responsive human-machine experiences. Equipped with 16 smart bus servos for fast, stable, and precise multi-joint control, TonyPi delivers accurate humanoid movements and complex actions. Its 2DOF HD camera supports color detection, target tracking, ball kicking, line following, and MediaPipe-based motion control for interactive tasks. Includes tutorials and materials on motion control, OpenCV, deep learning, voice interaction, and AI models—ideal for learning and building your own AI robot. Product Description 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 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 AI Large Model to support more advanced embodied AI applications. To help you unlock its full potential, we offer comprehensive tutorials designed to inspire and support your AI-driven creative projects. 1) 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. 2) 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. 1. 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. 1) Object Tracking Powered by the OpenCV vision library, TonyPi Pro can detect and locate objects of a specific color in real-time. Using PID control, its head can actively track moving targets with precision. 2) Tag Recognition Using OpenCV algorithms, TonyPi Pro 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. 3) Face Detection TonyPi Pro 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. 4) Visual Line Following With AI vision and PID motion control, TonyPi Pro can identify colored lines in its view and autonomously adjust its gait to follow the path smoothly and stably. 2. Multimodal Models Deployment TonyPi Pro 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 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! 1) Large Language Model 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. 2) Large Speech Model With the integration of the Al voice interaction box, TonyPi Pro is equipped with speech input and output capabili- ties-functionally giving it'ears' and a'mouth.' Utilizing advanced end-to-end speech-language models and naturall anguage processing (NLP) technologies, TonyPi Pro can perform real-time speech recognition and generate natural, human-like responses, enabling seamless and intuitive voice-based human-machine interaction. 3) Vision Language Model TonyPi Pro integrates with OpenRouter's Vision Large Model, enabling advanced image understanding and analysis. It can accurately identify and locate objects within complex visual scenes, while also delivering detailed descriptions that cover object names, characteristics, and other relevant attributes. 3. Large Model Embodied AI Applications 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. Combined with machine vision, TonyPi Pro exhibits advanced capabilities in perception, reasoning, and autonomous action—paving the way for more sophisticated embodied AI applications. 1) Voice Control Powered by ChatGPT, TonyPi Pro is capable of semantic understanding and executing corresponding actions, enabling smooth and natural voice control. 2) Scene Understanding Leveraging OpenAI's ChatGPT model, TonyPi Pro 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. 3) Ball Tracking and Shooting With semantic understanding powered by a large language model, TonyPi Pro can lock onto a target based on commands, adjust its posture in real time, and precisely execute ball tracking and kicking actions. 4) Autonomous Patrolling 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. 5) Object Transport 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. 6) Post Detection TonyPi Pro 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. 7) Smart Home Assistant Leveraging the multimodal model deployed on its body, TonyPi Pro 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. 8) Temperature Reporting Equipped with a temperature and humidity sensor, TonyPi Pro 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. 9) Upgraded MediaPipe Human-Robot Interaction TonyPi Pro continuously captures human body features within its visual field and processes them using MediaPipedetection models.Based on real-time analysis, the robot executes corresponding actions, enabling advanced Al capabilities such as face recognition, gesture control, and somatosensory motion control. 10) Auto Shooting Perform image processing through OpenCV to obtain the ball's position, and then use PID algorithm to track and kick it automatically. 11) Intelligent Transport TonyPi Pro can visually identify the distance of the item, and finally move the target item to the designated tag. 4. Support Diverse Control Methods ① APP Control WonderPi APP supports Android and iOS. Switch game modes easily and quickly to experience various AI games. ② 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. ③ 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. View more What's Included 1* TonyPi (ready to use) 1* 12.6V A1 battery charger 3* Tag + EVA balls 1* Card reader 1* Accessory bag 1* User manual 1* WonderEcho Pro AI voice interaction box 1* Type C cable Dimensions 373*186*106mm (14.69x7.32x4.17inches) Multimedia docReady(function() {$('button[aria-controls=unique-tab-5]').one('click',function() {$("#iframe-video-1").html('');})}); Specifications 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: Wi-Fi and ethernet Servo: LX-824HV bus servo/ LFD-01M anti-blocking servo Shipping size: 56*36*31cm Shipping weight: About 3.9kg