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home > Hiwonder MentorPi M1 Raspberry Pi Robot Car – Mecanum wheel ROS2 Robot, with LLM ChatGPT, SLAM and AI Vision and Voice Interaction > Hiwonder MentorPi M1 Raspberry Pi Robot Car – Mecanum wheel ROS2 Robot, with LLM ChatGPT, SLAM and AI Vision and Voice Interaction

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Hiwonder MentorPi M1 Raspberry Pi Robot Car – Mecanum wheel ROS2 Robot, with LLM ChatGPT, SLAM and AI Vision and Voice InteractionCheck your MentorPi Tutorial here: https: docs. hiwonder. com projects MentorPi en latest Product Description Hiwonder MentorPi is an advanced smart robot car powered by Raspberry Pi 5 and fully compatible with ROS2. It features a modular design, with both Mecanum wheel and Ackermann wheel chassis options. Equipped with high speed closed loop encoder motors, Lidar, a 3D depth camera, and high torque servosMentorPi car enables core AI functions like

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Check your MentorPi Tutorial here: https://docs.hiwonder.com/projects/MentorPi/en/latest/

Product Description

Hiwonder MentorPi is an advanced smart robot car powered by Raspberry Pi 5 and fully compatible with ROS2. It features a modular design, with both Mecanum-wheel and Ackermann-wheel chassis options. Equipped with high-speed closed-loop encoder motors, Lidar, a 3D depth camera, and high-torque servos—MentorPi car enables core AI functions like SLAM mapping, path planning, and autonomous driving. It uses YOLOv11 to detect road signs and traffic lights.
MentorPi M1 robot also includes a Multimodal Large AI Model to support advanced Embodied AI. We provide comprehensive tutorials and videos to help you get started on your creative projects.

3D Depth Camera

The 3D depth camera enables key AI functions, including 3D visual mapping and navigation, giving the robot a deeper understanding of its environment.

Raspberry Pi 5 Controller

Oradar MS200 Lidar

The integrated Lidar allows for SLAM mapping, path planning, and dynamic obstacle avoidance, helping the MentorPi robot navigate any space with ease.

High Performance Encoder Motor

These motors provide robust power and precision. With a high-quality encoder and durable shell, they're built to last.

Dual-Controller Design for Efficient Collaboration

Function List

Large AI Model Integration for SLAM Navigation

Hiwonder MentorPi combines a multimodal large AI model with SLAM mapping and navigation. It understands your voice commands to perform multi-point navigation. Upon arrival, a vision-language model helps it understand objects and events in its surroundings. This approach significantly enhances the robot’s intelligence, adaptability, and user experience.

Semantic Understanding

MentorPi chatgpt AI robot uses LLMs (large language models) to accurately interpret and analyze voice commands, understanding your intent.

Environmental Perception

A vision-language model allows MentorPi robot to interpret objects and understand the spatial layout of its environment.

Intelligent Navigation

By continuously analyzing environmental data, MentorPi Raspi car can dynamically adjust its path based on your voice commands, ensuring intelligent, adaptive routing to any location.

Scene Understanding

With support from a vision-language model, MentorPi AI robot can deeply interpret the scene, understanding objects and events within its field of view.

Embodied AI Applications with a Large Model

Hiwonder MentorPi features a advanced AI voice interaction module. Unlike traditional command-and-response systems, MentorPi uses ChatGPT to understand voice commands and translate them into physical actions. When combined with machine vision, this integration dramatically improves the fluidity of human-robot interaction and enables advanced capabilities in perception, reasoning, and autonomous action—paving the way for more sophisticated embodied AI applications.

embodied artificial intelligence robot car

Voice Control

Thanks to ChatGPT, MentorPi AI robot understands your spoken commands and performs the corresponding actions for seamless voice-controlled interaction.

Color Tracking

MentorPi uses a vision-language model to detect and track any object by color. It then uses a PID algorithm for precise, real-time tracking.

Vision Tracking

With the advanced perception of a vision-language model, MentorPi M1 can intelligently identify and track objects in complex environments with good adaptability and precision.

Autonomous Patrolling

Using semantic understanding from a LLM, MentorPi chatgpt AI robot can accurately detect and follow lines of various colors while autonomously navigating obstacles for smooth and efficient patrolling.

embodied artificial intelligence rpi robot car

large ai model learning robot kit robot car slam localization and mapping Depth Cameras in ROS Robot

Color Recognition and Tracking

Using OpenCV, MentorPi can track objects of a specific color. Simply select the color in the app, and the robot will emit a matching light and follow the object in real-time.

Target Tracking

MentorPi car uses its vision system to precisely locate and track a target object, ensuring accurate and stable following.

QR Code Recognition

MentorPi can recognize and decode the content of custom QR codes, displaying the information for you.

Vision Line Tracking

Hiwonder MentorPi can be configured to track lines of any custom color, allowing it to autonomously follow specific paths.

deeping learning robot car kit Mediapipe robot arm kit

Wireless Controller Control

MentorPi supports wireless controller 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.

ros robot slam lidar vision solution for robotics

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	302725mm

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 motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability.

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 encoder geared motor is a precise speed measurement module that uses a Hall sensor. With its strong magnetic disc, it generates AB phase pulse signals to accurately detect both motor speed and rotation direction.

7.4V 2200mAh 10C LiPo Battery

This LiPo battery uses high-quality 18650 cells and has a built-in protection board to prevent damage from overcharging, overcurrent, over-discharging, and short circuits. It provides a long service life with over 300 charge cycles.

Size	212171147mm(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	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

Product Parameters

Dimensional Diagram

MentorPi M1 Starter Packing List (Monocular Camera Version)

MentorPi M1 Standard Packing List (Depth Camera Version)

MentorPi M1 Advanced Packing List (Depth Camera Version)

Specifications

Item	Specification
Model	Mecanum-wheel chassis version(Depth camera)
Weight	1.2kg
Size	212171147mm
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	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	412218cm
Package weight	About 2.1kg

Hiwonder MentorPi M1 Raspberry Pi Robot Car – Mecanum wheel ROS2 Robot, with LLM ChatGPT, SLAM and AI Vision and Voice Interaction

Name: Hiwonder MentorPi M1 Raspberry Pi Robot Car – Mecanum wheel ROS2 Robot, with LLM ChatGPT, SLAM and AI Vision and Voice Interaction
Brand: wellness-welten.net
SKU: 36188116855
Price: 150.00 USD
Availability: InStock
Rating: 4.1242 (1415 reviews)