Introduction
The Yahboom Rosmaster M1 is an advanced smart car designed for robotics education and development, featuring a Raspberry Pi 5-8GB. It integrates multi-modal AI vision, large language models, SLAM navigation, and programming capabilities, making it an ideal platform for learning and experimenting with AI and robotics. This manual provides essential information for assembly, operation, and maintenance.
Product Features
- Flagship Performance: Choose from 4 master controllers (Raspberry Pi 5, Jetson Nano B01, RDK X5, Orin Nano 8GB SUPER). High-performance RDK X5 and Orin Nano enable smooth visual autonomous driving and road network planning simultaneously, achieving 22-25fps operation.
- Autonomous Driving Technology: Innovatively integrates two core technologies: high-performance GPU-based visual autonomous driving (lane keeping + road sign recognition) and ROS 2-based road network planning. This enables realistic driving simulations and practical learning for industrial applications.
- AI Large Model Integration: Deeply integrates AI large language models for intelligent voice interaction, supporting Xunfei Spark/OpenRouter. Pre-installed SLAM sandbox navigation function with AI large model integration allows immediate autonomous driving experience without prior map construction (map sold separately).
- High-Performance Hardware: Utilizes Mecanum wheels for realistic driving, supporting autonomous driving technology development through road sign and signal recognition. Equipped with Nuwa-HP60C depth camera, TminiPlus LiDAR/SLAM C1 LiDAR, and high-torque 520Nm motors. Large capacity battery extends driving time by 170%, and large TF card/SSD supports multi-task demands.
- Rich Learning Resources: Includes full-stack AI large model specific courses and detailed robotics teaching materials. Yahboom provides professional technical support, guiding users from basic development board large models to robot applications, enabling deep learning of ROS and AI robotics technology from scratch.
Setup Guide
1. Unboxing and Component Identification
Carefully unpack all components from the box. Verify that all items listed in the packing list are present and undamaged. Refer to the image below for a visual guide to the components.
Image: Rosmaster M1 packing list. This image displays the various components included in the Rosmaster M1 kit, such as the main robot chassis, Raspberry Pi board, cameras, LiDAR, battery, and other accessories.
2. Hardware Assembly
Follow the detailed assembly instructions provided in the included physical manual or online resources. Key steps typically involve:
- Attach the Mecanum wheels to the motor mounts.
- Mount the Raspberry Pi 5-8GB (or other chosen master controller) onto the main chassis.
- Connect the ROS robot control board.
- Install the camera (2MP HD Camera PTZ or Nuwa-HP60C Depth Camera) and LiDAR (T-Mini Plus).
- Connect the AI large model voice module and speaker.
- Install the 6000mAh battery pack.
Image: Rosmaster M1 exploded view. This diagram illustrates the various components of the Rosmaster M1 robot and their relative positions for assembly.
3. Software Configuration
The Rosmaster M1 typically comes with pre-installed software, but updates or specific configurations may be required. Refer to the official Yahboom website for the latest software images and setup guides.
- Ensure the operating system (e.g., Ubuntu with ROS2 Humble) is correctly installed on your master controller.
- Verify all drivers for cameras, LiDAR, and motors are properly configured.
- Access the robot's interface via a computer or mobile device for initial testing and calibration.
Operating Instructions
1. Powering On and Initial Connection
Connect the fully charged battery to the robot. Power on the master controller. Establish a connection via Wi-Fi or Ethernet to your control device (computer, smartphone).
2. Control Methods
The Rosmaster M1 supports multiple control methods:
- Mobile App (iOS/Android): Use the dedicated mapping and navigation app for intuitive control.
- Computer Control: Utilize a computer interface for advanced programming and control.
- USB Wireless Remote (Standard): For direct manual control.
Image: Rosmaster M1 control methods. This image shows the robot being controlled via a smartphone app, a laptop, and a USB wireless gamepad.
3. Autonomous Driving and Navigation
The Rosmaster M1 excels in autonomous navigation tasks. It can perform:
- SLAM Mapping and Navigation: Utilizes LiDAR and camera data to build maps and navigate complex environments.
- Visual Autonomous Driving: Recognizes lane lines, road signs, and traffic signals for realistic driving scenarios.
- AI Large Model Integration: Enables intelligent voice commands for navigation and task execution.
Image: Rosmaster M1 autonomous driving. This image depicts the robot navigating a simulated road environment, demonstrating road sign detection, lane keeping, automatic parking, and steering decision capabilities.
4. AI Vision and Interaction
Leverage the robot's AI capabilities for object recognition, tracking, and interactive tasks.
- Object Detection (YOLOV11): Identify and classify various objects in real-time.
- Gesture Recognition: Control the robot using hand gestures.
- Voice Interaction: Engage with the robot using natural language commands.
Image: Rosmaster M1 AI image recognition. This image showcases the robot's ability to perform various AI image recognition tasks, including human body recognition, gesture recognition, fingertip recognition, human skeleton recognition, 3D detection, 3D face detection, color recognition, and AR vision.
Maintenance
- Cleaning: Regularly clean the robot's chassis, wheels, and sensors with a soft, dry cloth. Avoid using liquids directly on electronic components.
- Battery Care: Charge the battery fully before storage if not used for extended periods. Do not overcharge or completely discharge the battery. Store in a cool, dry place.
- Software Updates: Periodically check the Yahboom official website for software and firmware updates to ensure optimal performance and access to new features.
- Component Inspection: Inspect all connections and components for looseness or damage before each use. Tighten screws as needed.
Troubleshooting
| Problem | Possible Cause | Solution |
|---|---|---|
| Robot does not power on. | Battery not charged or improperly connected. | Ensure battery is fully charged and securely connected. Check power switch. |
| No connection to control device. | Incorrect Wi-Fi settings or network issues. | Verify Wi-Fi credentials. Restart robot and control device. Check network status. |
| Mecanum wheels not moving correctly. | Motor connection issues or software calibration needed. | Check motor wiring. Perform motor calibration through the software interface. |
| Camera/LiDAR not detecting environment. | Sensor obstruction or driver issues. | Clear any obstructions from sensors. Verify sensor drivers are installed and running. |
| Voice commands not recognized. | Microphone issue or AI model not active. | Ensure microphone is clear and connected. Check AI large model status in software. |
Specifications
| Component | Detail |
|---|---|
| Master Control Options | RDK X5 / Raspberry Pi 5 / Jetson Nano B01 / Jetson Orin Nano SUPER |
| System Version | RDK X5: Ubuntu 22.04 + ROS2 Humble Raspberry Pi 5: RPi OS + Docker + ROS2 Humble Jetson Nano B01: Ubuntu 18.04 LTS + Docker + ROS2 Humble Jetson Orin Nano SUPER: Ubuntu 22.04 LTS + ROS2 Humble |
| Programming Language | Python |
| Input Devices | Nuwa-HP60C Depth Camera, 2MP HD Camera PTZ, T-Mini Plus LiDAR, AI Large Model Voice Module, USB Wireless Handle |
| Output Devices | 2MP HD Camera (PTZ), 520 Motor x4, OLED Display, Buzzer, Speaker |
| Motor Solution | 1:56 High Torque Encoder Motor x4 |
| Body Material | Anodized sandblasted aluminum alloy |
| Battery Life | 3 hours (battery life varies by version) |
| Power Solution | 12.6V 6000mAh battery pack |
| Power Interface | DC 4.0*1.7 power interface |
| Remote Control Method | PC computer, wireless handle, mapping navigation APP (iOS/Android) |
| Network Communication | Wi-Fi network (LAN/AP) |
| Safety Protection | Overcharge/overdischarge/overcurrent/short circuit/low voltage protection |
| Dimensions | 284.4 x 231.4 x 181.4 mm |
| Weight | 2.68 - 2.74 kg (weight varies by selected version) |
Image: Rosmaster M1 product parameters. This image provides a detailed diagram of the robot's dimensions and a table summarizing its key specifications.
Support and Resources
For further assistance, detailed tutorials, and code examples, please refer to the following resources:
- Official Download Page: yahboom.net/download - Access software, firmware, and documentation.
- Email Support (General): amazon@yahboom.com
- Email Support (Technical): support@yahboom.com
Image: Yahboom support contact information. This image displays the Yahboom logo and contact details for support, including a download link and two email addresses.
Tutorials and Code
Yahboom provides extensive tutorials and code examples to help users learn and develop with the Rosmaster M1. These resources cover various topics from basic setup to advanced AI applications.
Image: Rosmaster M1 tutorials and code. This image shows a list of available tutorials and code categories, including AI Model Basics, MediaPipe Visual Course, Depth Camera Vision Course, LiDAR Course, and more.
Image: Rosmaster M1 video tutorials. This image displays a grid of checkboxes indicating the availability of practical video tutorials for various functionalities and learning modules.
