Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum-wheel Chassis 2DOF Monocular Camera ROS2-HUMBLE Support SLAM and Autonomous Driving
【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi M1 robot, powered by a RPi 5 and compatible with ROS2, is programmed in Python, making it an excellent platform for developing AI robots.
【Built for Performance】 With closed-loop encoder motors, a TOF lidar, a 2DOF camera, and high-torque servos, the MentorPi car ensures optimal performance and efficiency for all your robotics projects.
【Unlock Advanced AI】 Explore a wide range of AI applications with features that include SLAM mapping, path planning, multi-robot coordination, vision recognition, and target tracking.
【Learn Autonomous Driving】 Utilize the YOLOv5 model for training the robot to recognize road signs and traffic lights, helping you explore and develop cutting-edge autonomous driving technologies.
Here is the tutorial for MentorPi M1 Raspberry Pi 5 Robot Car: https://docs.hiwonder.com/projects/MentorPi/en/latest/.
2DOF Monocular Camera
MentorPi is equipped with a 2DOF monocular camera and two LFD-01 anti-blocking servos, allowing for full 360° vision with no blind spots when combined with its versatile chassis.
Raspberry Pi 5 Controller
Hiwonder MentorPi robot car is powered by Raspberry Pi 5, allowing you to start with motion control, machine vision, and OpenCV projects.
STL-19P TOF Lidar
Equipped with the high performance Lidar, the MentorPi M1 robot uses SLAM technology for accurate mapping and navigation. It can plan complex paths, navigate to set points, and dynamically avoid obstacles.
High Performance Encoder Motor
This motor delivers powerful and precise movement, thanks to a high-precision encoder. The protective end cap ensures a longer service life.
| 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 |
Wrapped Rear Tail Shell
The wrapped rear tail shell effectively protects the motor's internal PCB circuits and magnetic ring from external damage. This significantly improves the motor's safety and durability.
Permanent Magnet Brushed Motor
This permanent magnet DC motor offers a fast starting response, high starting torque, and smooth speed changes.
High-precision Magnetic Encoder
The motor's high-precision magnetic encoder provides powerful torque, high accuracy, and strong resistance to interference.
Durable Metal Gear
The motor's all-metal gears and metal output shaft reduce power consumption and increase the motor's service life.
| Size | 212*171*147mm |
| 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 | 2DOF monocular camera |
| Lidar | ldrobot STL-19P |
| 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 |
| Item | Specification |
| Model | Mecanum-wheel chassis version |
| 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 | 2DOF monocular camera |
| Lidar | ldrobot STL-19P |
| 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 |
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