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Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum-wheel Chassis ROS2-HUMBLE Support SLAM and Autonomous Driving
Product SKU: HW2024174
- 【Raspberry Pi 5 & ROS2 Robot Car】MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
- 【Multiple Chassis Configurations】Supports both Mecanum-wheel and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
- 【High-Performance Hardware】Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
- 【Advanced AI Capabilities】Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.
- 【Autonomous Driving with Deep Learning】Utilizes YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
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Product Description
MentorPi is a smart robot car powered by Raspberry Pi 5 and supports ROS2. It offers two chassis options: Mecanum-wheel and Ackermann-wheel. Equipped with high-speed closed-loop encoder motors, Lidar, a 3D depth camera, and large-torque servos,it delivers high-performance capabilities. These include SLAM mapping, path planning, vision recognition, and autonomous driving. With YOLOv5 model training, MentorPi can detect road signs and traffic lights. Hiwonder also provides detailed ROS2 tutorials and videos to help users get started quickly.MentorPi is an excellent choice for advanced AI robotics.
3D Depth Camera
The 3D depth camera not only enables AI visual functions but also supports advanced features like depth image data processing and 3D visual mapping and navigation.
Raspberry Pi 5 Controller
MentorPi is powered by Raspberry Pi 5 controller allowing you to embark on motion control, machine vision, and OpenCV projects.
STL-19P TOF Lidar
MentorPi is equipped with lidar, which can realize SLAM mapping and navigation, and supports path planning, fixed-point navigation and dynamic obstacle avoidance.
High Performance Encoder Motor
It offers robust force, has a high-precision encoder,and includes a protective end shell to ensure an extended service life.
Dual-Controller Design for Efficient Collaboration
Function List
Color Recognition and Tracking
Working with OpenCV, MentorPi can track specific color. After you select the color on the APP, it emits light of corresponding color and moves with the object of that color.
Target Tracking
Through vision positioning of the target object, the target object can be better targeted and tracked.
QR Code Recognition
MentorPi can recognize the content of custom QR codes and display the decoded information.
Vision Line Tracking
MentorPi supports custom color selection, and the robot can identify color lines and track them.
Wireless Handle Control
MentorPi supports wireless handle control and can connect to the robot via Bluetooth to control the robot in real time.
App Control
WonderPi app supports Android and iOS. Switch game modes easily and quickly to experience various AI games.
ROS Robot Operating System
Global Popular Robotic Communication Framework
ROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support 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 |
Wrapped Rear Tail Shell
It can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences, effectively improving the safety and service life of the motor.
Permanent Magnet Brushed Motor
The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.
High-precision Magnetic Encoder
The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.
Durable Metal Gear
The motor incorporates a full metal gear and metal output shaft, reducing power consumption and extending the motor's service life.
Hall Encoder Geared Motor
The Hall speed measurement code disc is a speed measurement module that utilizes Hall sensor encoders. Equipped with a strong magnetic disc, it generates AB phase output pulse signals, enabling the detection of motor rotation direction and speed.
7.4V 2200mAh 20C LiPo Battery
The LiPo battery features high-quality 18650 cells and a built-in protection board that safeguards against damage from overcharging, overcurrent, overdischarge, and short circuits. It provides a long service life, with over 300 charge cycles.
| Size | 212*171*147mm(Depth Camera Version) |
| Weight | 1.2kg |
| Chassis type | Mecanum wheel chassis |
| 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 | ldrobot STL-19P |
| Battery | 7.4V 2200mAh 20C 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 |
Product Parameters
Dimensional Diagram
MentorPi M1 Packing List(Monocular Camera Version)
MentorPi M1 Packing List(Depth Camera Version)
| Item | Specification |
| Model | Mecanum-wheel chassis version(Depth camera) |
| Weight | 1.2kg |
| Size | 212*171*147mm |
| Chassis type | Mecanum wheel chassis |
| 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 | ldrobot STL-19P |
| Battery | 7.4V 2200mAh 20C 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 |
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