MentorPi M1 monocular camera version: the robot car on mecanum wheels, with a lidar on top and a camera on a pan-tilt mount at the front

Mobile and ROS robots

MentorPi M1 (Monocular Camera Version)

MentorPi M1 with a 2DOF monocular camera and lidar: a Raspberry Pi 5 mecanum wheel robot car for ROS2.

  • Raspberry Pi
  • Suggested for secondary
  • Suggested for university

This is the monocular camera version of MentorPi M1, sold as a single kit. It is the same mecanum wheel Raspberry Pi 5 robot car running ROS2, with closed-loop encoder motors and a lidar, but it carries a 2DOF monocular camera in place of the 3D depth camera and has no AI voice interaction module. It handles SLAM mapping, vision recognition and autonomous driving, and YOLOv11 detects road signs and traffic lights. Hiwonder provides ROS2 tutorials and videos.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Controller
Without Raspberry Pi 5 · With Raspberry Pi 5 2GB · With Raspberry Pi 5 4GB · With Raspberry Pi 5 8GB · With Raspberry Pi 5 16GB

What it does

Built for.

  • 2DOF monocular camera

    Two LFD-01 anti-blocking servos move the camera, and together with the chassis give the car a full 360° view.

  • Lidar navigation

    The lidar handles obstacle avoidance, target following, fixed-point and multi-point navigation, path planning and global task navigation.

  • Vision and YOLO

    With OpenCV the car tracks colours and targets, follows lines of a chosen colour and decodes QR codes. The YOLO deep learning algorithm recognises objects, and YOLOv11 training covers road signs and traffic lights.

  • MediaPipe interaction

    The MediaPipe framework adds fingertip recognition, human body recognition and 3D face detection.

  • Mecanum chassis

    An anodised aluminium chassis on mecanum wheels, driven by metal-gear encoder motors, moves forwards, sideways, diagonally and on the spot.

  • Control

    Drive it from the WonderPi app on iOS or Android, from PC software, or with a wireless handle over Bluetooth.

Where it is used

Applications.

  • ROS2 teaching on Raspberry Pi 5
  • SLAM mapping and navigation projects
  • Model autonomous driving with road sign and traffic light detection
  • Computer vision projects in Python and OpenCV

Videos

See it run.

Specifications

The full sheet.

Size
212 × 171 × 147 mm
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
Camera resolution
640 × 480
Camera field of view
170°
Camera servos
Two LFD-01 anti-blocking servos
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 × 18 cm
Package weight
About 2.1kg

Specifications as published by Hiwonder.

Request a quote

Quote for MentorPi M1 (Monocular Camera Version).

Quantity, configuration, delivery and setup: we quote each order on its own terms.

Levels are our recommendation, not Hiwonder's. Ask us if you are unsure which fits.

Configuration

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