Hiwonder MentorPi A1 Raspberry Pi Robot Car – Ackerman Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous Driving

• 【Raspberry Pi 5 & ROS2 Robot Car】 Powered by a Raspberry Pi 5 and ROS2, the MentorPi A1 robot is an ideal platform for AI robot development, programmed in Python.

• 【Built with Advanced Components】 Equipped with closed-loop encoder motors, a TOF lidar, a 3D depth camera, and high-torque servos for optimal performance.

• 【Advanced AI Capabilities】 Supports SLAM mapping, path planning, vision recognition, target tracking, and more for a wide range of AI applications.

• 【Autonomous Driving with Deep Learning】 Utilizes YOLOv5 model training to enable road sign and traffic light recognition, helping users develop autonomous driving technologies.

• 【Human-Robot Interaction】 Empowered by a large AI model with ChatGPT at its core, MentorPi robot A1 uses 3D vision and AI voice to enhance its capabilities, enabling natural, context-aware human-robot interaction.

Get the MentorPi A1 gift tutorial: https://docs.hiwonder.com/projects/MentorPi/en/latest/.

Product Description

MentorPi A1 ROS robot is a smart robot car powered by Raspberry Pi 5 and ROS2. It is engineered for high performance with closed-loop encoder motors, a Lidar sensor, a 3D depth camera, and powerful servos. Masters advanced functions like SLAM mapping, path planning, and autonomous driving—with YOLOv5 training to recognize road signs and traffic lights.
Enhanced by a Multimodal AI large language model, Hiwonder MentorPi car robot is ready for next-gen embodied AI. Tutorials and videos are provided to help you launch your AI projects with confidence.

3D Depth Camera

This camera enables powerful AI visual functions, including depth image data processing, 3D visual mapping, and advanced navigation.

Raspberry Pi 5 Controller

The Raspberry Pi 5 serves as the brain of the Hiwonder MentorPi A1, allowing you to develop projects in motion control, machine vision, and OpenCV.

STL-19P TOF Lidar

Equipped with a Lidar sensor, the MentorPi A1 can perform SLAM mapping and navigation, and supports path planning, fixed-point navigation, and dynamic obstacle avoidance.

High Performance Encoder Motor

These motors provide robust power, feature a high-precision encoder, and have a protective end shell for an extended service life.

Dual-Controller Design for Efficient Collaboration

Function List

AI Large Models Integration with SLAM Navigation

MentorPi raspi car combines a multimodal AI large model with SLAM capabilities to revolutionize navigation and interaction. Using AI large language model, it interprets voice commands to perform multi-point navigation. Once it reaches a location, it uses a vision language model to understand the surrounding environment, enhancing its intelligence and adaptability for real-world tasks. The features described below are demonstrated on the Mecanum-wheel version, but they are also available on the Ackermann version.

Semantic Understanding

MentorPi robot car A1 uses AI large language models to accurately interpret and analyze voice commands, understanding your natural language intent.

Environmental Perception

Powered by a vision language model, MentorPi raspberry pi robot can interpret objects and understand the spatial layout of its surroundings.

Intelligent Navigation

By continuously sending environmental data to its vision language model, MentorPi car dynamically adjusts its navigation path based on your voice commands, enabling adaptive and autonomous routing.

Scene Understanding

With a vision language model, Hiwonder MentorPi can deeply interpret the semantic information of its environment, including objects and events in its field of view.

Embodied AI Applications

MentorPi's high-performance AI voice interaction module, powered by ChatGPT, enables a cognitive transition from understanding to physical action. Combined with machine vision, it demonstrates advanced perception, reasoning, and autonomous action, paving the way for sophisticated embodied AI applications.

Voice Control

Thanks to ChatGPT integration, Hiwonder MentorPi robot can comprehend spoken commands and perform corresponding actions for intuitive and seamless voice control.

Color Tracking

MentorPi AI robot uses a vision language model and a PID algorithm to precisely detect, lock onto, and track any colored object in its field of view in real time.

Vision Tracking

With advanced perception from a vision language model, MentorPi Raspberry Pi ChatGPT robot can intelligently identify and track target objects in complex environments with high precision.

Autonomous Patrolling

Leveraging semantic understanding from a large language model, MentorPi chatgpt AI robot can accurately detect and track lines while autonomously avoiding obstacles for smooth and efficient patrolling.

Color Recognition and Tracking

Using OpenCV, Hiwonder MentorPi raspi car can track a specific color. Simply select the color in the app, and the robot will emit a light of that color as it follows the corresponding object.

Target Tracking

With vision-based positioning, the AI robot can accurately identify and track a target object.

QR Code Recognition

MentorPi car A1 can recognize and decode custom QR codes, displaying the information they contain.

Vision Line Tracking

The Hiwonder AI robot supports custom color selection, allowing it to identify and follow colored lines on the ground.

Wireless Controller Control

Easily control your Hiwonder MentorPi with a wireless controller. Simply connect via Bluetooth for real-time, responsive control.

App Control

The WonderPi app, available on Android and iOS, lets you quickly switch between game modes to explore different AI games with ease.

ROS Robot Operating System

Global Popular Robotic Communication Framework

ROS is a globally popular, open-source framework for robotic communication. It provides essential services like hardware abstraction, low-level device control, and inter-process message passing. With its rich set of tools and libraries, ROS simplifies the process of obtaining, compiling, writing, and running code across multiple computers, promoting code reuse for robotics research and development.

Protective Rear Shell

The wrapped rear shell protects the motor's sensitive internal components, ensuring it lasts longer and stays safe from external damage.

Brushed Permanent Magnet Motor

Experience a quick start and strong torque with this motor, which also delivers smooth speed changes for precise control.

High-Precision Magnetic Encoder

The motor's encoder provides powerful performance with high accuracy and strong resistance to interference.

Durable Metal Gear

The motor's all-metal gear and metal output shaft reduce power consumption and extend the motor's lifespan.

Hall Encoder Geared Motor

This speed measurement module uses a Hall sensor encoder with a strong magnetic disc to generate AB phase output signals, allowing it to detect the motor's rotation direction and speed.

7.4V 2200mAh 10C LiPo Battery

With high-quality cells and built-in protection board, this battery is safeguarded against overcharging, overcurrent, over-discharging, and short circuits. It offers a long service life with over 300 charge cycles.

Product Parameters

Dimensional Diagram

MentorPi A1 Starter Packing List (Monocular Camera Version)

MentorPi A1 Standard Packing List (Depth Camera Version)

MentorPi A1 Advanced Packing List (Depth Camera Version)