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- Hiwonder TurboPi Raspberry Pi Robot Car ROS2 with Mecanum Wheels, AI Vision & Tracking, Integrated Multimodal Large AI Model ChatGPT, and Voice Interaction (Copy) Hiwonder TurboPi Raspberry Pi Robot Car ROS2 with Mecanum Wheels, AI Vision & Tracking, Integrated Multimodal Large AI Model ChatGPT, and Voice Interaction (Copy)








































Hiwonder TurboPi Raspberry Pi Robot Car ROS2 with Mecanum Wheels, AI Vision & Tracking, Integrated Multimodal Large AI Model ChatGPT, and Voice Interaction (Copy)
【Raspberry Pi 5 & ROS2 Platform】 TurboPi runs on the ROS2 operating system and leverages Python and OpenCV to deliver efficient AI processing and a wide range of robotic applications.
【Multimodal large AI model ChatGPT & Voice Interaction】With an integrated multimodal large AI model and AI voice interaction capabilities, TurboPi supports smart conversations, environment awareness, and flexible task execution for richer human-machine interactions.
【AI Vision & Autonomous Driving】 Equipped with a 2-DOF HD camera, TurboPi offers FPV video feedback, object and color recognition, line following, and autonomous driving features—perfect for creative AI projects.
【360° Omnidirectional Movement】 Featuring a robust metal chassis and Mecanum wheels, TurboPi can move in any direction and rotate on the spot, adapting smoothly to various scenarios.
【Comprehensive Code & Learning Resources】 We provide full Python source code, diverse experiment examples, and detailed course materials to support your journey in mastering AI and programming while inspiring endless innovation.
- Description
- Specifications
- Accessories
Master the process in TurboPi Robot Tutorials: https://docs.hiwonder.com/projects/TurboPi/en/advanced/.


The TurboPi Advanced Kit is powered by the ROS2 operating system and integrates a Multimodal Large AI model. This allows it to perceive its environment, plan actions, and execute tasks with enhanced flexibility-enabling more advanced applications in embodied AI. Extensive learning resources and access to the full source code are provided to support your journey in building creative and engaging AI projects.




















Autonomous Line Following
TurboPi features a line follower with four high-precision infrared probes, allowing it to accurately detect paths and navigate smoothly along designated routes.

Road Sign Recognition
TurboPi leverages a high-definition wide-angle camera and the YOLOv5 deep learning framework to identify road signs and respond with appropriate turning maneuvers—enabling more intelligent and interactive navigation.

Traffic Light Recognition
TurboPi leverages the OpenCV vision library to identify traffic light colors within its field of view, enabling it to respond by moving forward or stopping as appropriate.





Hard Aluminium Alloy Chassis
It protects the core control board from shattering and shocking and can bear bigger load!

High Performance Pan Tilt Servo
2DOF pan tilt is equipped with micro anti-blocking servo which has higher accuracy and longer service life.

HD Wide Angle Camera
TurboPi can look around 180°, and up and down 180°. Combined with mecanum chassis car, its visual range is up to 360°.

4-Channel Line Follower
4-Channel line follower with IIC interface enables TurboPi to detect black line without occupying Raspberry Pi CPU.

Powered by Raspberry Pi
TurboPi runs on Raspberry Pi 5 or 4B for motion control, machine vision, and OpenCV projects.

Easy to build
TurboPi is easy to build with instruction. You can enjoy the fun of building by build a robot.

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

Unlimited Creativity
TurboPi can be expanded with various electronic modules and LEGO blocks to open up diverse interesting robot games.







Product dimension: | 187*162*139mm |
Weight: | 0.8kg |
Material: | Metal bracket |
Camera resolution: | 480P |
DOF of camera pan tilt: | 2DOF, horizontal rotation angle180° and vertical rotation angle130° |
Power supply: | 2 * 18650 Lipo battery 1800mAh (standard kit); 2 * 18650 Lipo battery 2200mAh (advanced kit) |
Working life: | 11.1V 2500mAh 10C lithium battery |
Working hour: | About 60min |
Hardware | Raspberry Pi 4B/5 and Raspberry Pi expansion board |
Software: | VNC software(PC) + WonderPi APP(iOS/ Android) |
Communication metnod: | Wi-Fi, Ethernet |
Servo: | LFD-01 anti-blocking servo |
Control method: | PC/ phone control |
Package size: | 27*23*7cm(length*width*height) |
Package weight: | About 1.2kg |











Item | Specification |
Product dimension: | 187*162*139mm |
Weight: | 0.8kg |
Material: | Metal bracket |
Camera resolution: | 480P |
DOF of camera pan tilt: | 2DOF, horizontal rotation angle180° and vertical rotation angle130° |
Power supply: | 2 * 18650 Lipo battery 1800mAh (standard kit); 2 * 18650 Lipo battery 2200mAh (advanced kit) |
Working life: | 11.1V 2500mAh 10C lithium battery |
Working hour: | About 60min |
Hardware | Raspberry Pi 4B/5 and Raspberry Pi expansion board |
Software: | VNC software(PC) + WonderPi APP(iOS/ Android) |
Communication metnod: | Wi-Fi, Ethernet |
Servo: | LFD-01 anti-blocking servo |
Control method: | PC/ phone control |
Package size: | 27*23*7cm(length*width*height) |
Package weight: | About 1.2kg |