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Hiwonder MentorPi A1 Raspberry Pi Robot Car – Ackerman Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous Driving
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Hiwonder MentorPi A1 Raspberry Pi Robot Car – Ackerman Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous Driving
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Hiwonder MentorPi A1 Raspberry Pi Robot Car – Ackerman Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous DrivingGet 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 drivingwith YOLOv11 training to recognize road signs and
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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 YOLOv11 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.
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.
Oradar MS200 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.
| Monocular Camera Parameters | |
| Resolution | 30W(640*480) |
| Light-sensitive chip | GC0308(gcoreinc) |
| Camera type | HS-256-650(HS) |
| Aperture | 2.0 |
| Focus | 1.7mm |
| Focal field of view angle | 170° |
| Distortion | -83% |
| Camera interface | USB |
| Size | 30*27*25mm |
| LFD-01 Servo Parameters | |
| Rotation speed | ≤0.11sec/60° 6V |
| Anti-blocking protection | Power cut protection after 5 seconds of stall |
| Rotation range | 0-180 degrees |
| Communication method | PWM pulse-width control |
| Gear type | Plastic shaft |
| Working voltage | 4.8-6V |
| Maximum torque | ≥1.4kg.cm 6V |
| No-load speed | ≤0.11sec/ 60° 6.0V |
| Size | 22.3x12.0x23.2mm |
| Depth Camera Parameters | |||
| Camera model | Nuwa-HP60C | Power supply method | USB |
| Operating range | 0.2-4m | Accuracy | ＜ 2mm@1000mm |
| Depth FOV | H73.8°xV58.8°xD86.4° | Color FOV | H80.9°xV51.7°xD88.9° |
| VBUS | 4.75-5.25V | Supported OS | Windows, Android, Linux |
| Resolution@frame rate (Depth mode) | 640x480@20fps(Max) | Resolution@frame rate (RGB mode) | 1920x1080@20fps(Max) |
| Operating environment | Indoor | Data port | Type C USB 2.0 |
| Size | 89.9x19.0x25.0mm | Power consumption | ＜2W |
| Depth Camera Parameter | |
| Camera model | Nuwa-HP60C |
| Power supply method | USB |
| Operating range | 0.2-4m |
| Accuracy | ＜ 2mm@1000mm |
| Depth FOV | H73.8°xV58.8°xD86.4° |
| Color FOV | H80.9°xV51.7°xD88.9° |
| VBUS | 4.75-5.25V |
| Supported OS | Windows, Android, Linux |
| Resolution@frame rate (Depth mode) | 640x480@20fps(Max) |
| Resolution@frame rate (RGB mode) | 1920x1080@20fps(Max) |
| Operating environment | Indoor |
| Data port | Type C USB 2.0 |
| Size | 89.9x19.0x25.0mm |
| Power consumption | ＜2W |
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.
| Size | 213*159*157mm(Depth Camera Version) |
| Weight | 1.2kg |
| Servo type | LD-1501MG servo and LFD-01 anti-blocking servo (Monocular camera version) |
| Motor | 310 metal gear geared motor |
| Encoder | AB-phase high-accuracy quadrature encoder |
| Material | Full metal aluminum alloy chassis, anodizing process |
| ROS controller | RRC Lite controller + Raspberry Pi 5 controller |
| Control method | App, wireless handle and PC control |
| Camera | Angstrong binocluar 3D depth camera |
| Lidar | Oradar MS200 |
| OS | Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker) |
| Software | iOS/ Android app |
| Communication method | WiFi/ Ethernet |
| Programming language | Python/ C/ C++/ JavaScript |
| Storage | 64GB TF card |
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)
Specifications
| Item | Specification |
| Model | Ackermann chassis version (Depth camera) |
| Weight | 1.2kg |
| Size | 213*159*157mm |
| Chassis type | Ackermann chassis |
| Servo type | LD-1501MG servo and LFD-01 anti-blocking servo (Monocular camera version) |
| Motor | 310 metal gear geared motor |
| Encoder | AB-phase high-accuracy quadrature encoder |
| Material | Full metal aluminum alloy chassis, anodizing process |
| ROS controller | RRC Lite controller + Raspberry Pi 5 controller |
| Control method | App, wireless handle and PC control |
| Camera | Angstrong binocluar 3D depth camera |
| Lidar | Oradar MS200 |
| Battery | 7.4V 2200mAh 10C LiPo battery |
| OS | Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker) |
| Software | iOS/ Android app |
| Communication method | WiFi/ Ethernet |
| Programming language | Python/ C/ C++/ JavaScript |
| Storage | 64GB TF card |
| Package size | 41*22*18cm |
| Package weight | About 2.1kg |
Hiwonder MentorPi A1 Raspberry Pi Robot Car – Ackerman Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous Driving
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