MicroROS Self-balancing Car Robot Support 4KG Load Vision Kit
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MicroROS Self-balancing Car Robot Support 4KG Load Vision Kit The MicroROS Self-balancing Car Robot Support 4KG Load Vision Kit is an advanced Self-balancing Car designed for learning, research, and real-world robotics applications. Built on a powerful STM32 + ESP32 dual-processor architecture, it features a sturdy metal chassis, high-power DC motors, and a 6-axis IMU sensor to deliver stable and precise balancing performance. With support for up to 4 kg load, this Self-balancing two wheel Car can easily handle slopes, obstacles, and dynamic movements while maintaining excellent control and responsiveness. Integrated with MicroROS and ROS2, the robot supports advanced functions such as SLAM mapping, navigation, and AI vision interaction. The Vision Kit includes TOF laser lidar and a ROS-WiFi camera module, enabling real-time obstacle avoidance, autonomous navigation, and visual recognition. An onboard OLED displays live data, while free mobile apps allow remote control and mapping. Ideal for students, educators, and robotics enthusiasts, this Self-balancing Car bridges hands-on hardware learning with powerful ROS-based software development in a single, expandable platform Basic Function The 6-axis IMU enables posture recognition, automatically starting the balance system when placed on the ground and safely shutting it down when lifted vertically. The self-balancing car supports up to 4 kg load, thanks to its sturdy multi-layer structure and high-torque encoder motor, allowing DIY expansion and accessories. With a powerful balance control system, the robot can smoothly climb slopes of up to 30° while maintaining stability. Ultrasonic sensors enable intelligent obstacle avoidance and target following, with easy switching between both modes during operation. The onboard OLED display shows real-time data such as operating mode and battery voltage for quick status monitoring. Equipped with ESP32 + STM32 Dual Processors The ESP32 communication board uses the ESP32-S3-WROOM-1U-N4R2 chip to support MicroROS wireless communication. It enables real-time transmission of data from multiple sensors—such as motors, gyroscopes, and LiDAR—to the virtual machine ROS master, ensuring fast and stable communication between the robot chassis and the ROS system. The STM32 control board , powered by the STM32F103RCT6 chip, is responsible for precise motor driving, gyroscope data processing, and motor encoder feedback. This ensures stable self-balancing performance and accurate motion control. The board also provides onboard expansion interfaces, supporting a wide range of peripheral connections for future upgrades. Hardware Features High-performance TOF Laser LiDAR (T-mini Plus) for fast, accurate indoor and outdoor mapping with up to 12 m range and strong light resistance ROS-WiFi camera module (AI Vision) enables real-time image streaming and AI processing with OpenCV and MediaPipe support High-precision encoder DC motors with AB phase Hall encoders deliver stable balancing, accurate speed feedback, and smooth motion control Durable metal self-balancing chassis with 2 mm thick construction ensures strength, stability, and reliable performance under load Features: Self-balancing two-wheel robot with support for up to 4 kg load STM32 + ESP32 dual-processor architecture for stable control and wireless communication Integrated MicroROS and ROS2 support for SLAM, navigation, and AI applications TOF laser LiDAR and ROS-WiFi camera for obstacle avoidance and visual recognition 6-axis IMU enables accurate posture recognition and balance control Capable of climbing slopes up to 30° with powerful DC motors Ultrasonic obstacle avoidance and target following modes Onboard OLED display for real-time status and voltage monitoring Free mobile apps for remote control and mapping Modular design with expansion interfaces for DIY learning and upgrades
- Dual-processor: STM32F103RCT6 + ESP32-S3-WROOM-1U-N4R2
- Supports up to 4 kg load with stable balancing
- Full ROS2 & MicroROS compatibility for SLAM and navigation
- TOF LiDAR (12m range) and AI Vision camera included
- 6-axis IMU with auto-start and shutdown on posture change
- Climbs slopes up to 30° with high-torque encoder motors
- Onboard OLED and ultrasonic obstacle avoidance
- Modular design with expansion interfaces for upgrades
- Self-balancing two-wheel robot with 4kg payload
- Dual-core processing for control and communication
- Real-time SLAM and autonomous navigation
- AI-powered visual recognition and obstacle avoidance
- Expandable modular design for custom sensors
- Free mobile app for remote control and mapping
- Automatic posture-based power management
| Processor | STM32F103RCT6 + ESP32-S3-WROOM-1U-N4R2 |
|---|---|
| ROS Master Control | PC Virtual Machine (Ubuntu 22.04 + ROS2 Humble) |
| Control Methods | Mobile App, Mouse & Keyboard, PC Virtual Machine, USB Wireless Handle (Optional) |
| Programming Language | C, Python |
| Program Download | Serial Port, ST-Link |
| LiDAR | TOF Laser LiDAR (T-mini PLUS) |
| Camera Module | ROS-WiFi Camera Module (AI Vision version only) |
| AI Vision Support | OpenCV Image Processing, MediaPipe Machine Learning |
| Load Capacity | Up to 4 kg |
| IMU | 6-axis IMU |
| Balance Control | Supports PID / LQR |
| Maximum Climbing Angle | Up to 30° |
| Motor Type | 520 Encoder DC Reduction Motor × 2 |
| Encoder Type | AB Phase Incremental Hall Encoder |
| Gear Reduction Ratio | 1:30 |
| Motor Speed | 333 ±10 RPM |
| Magnetic Ring Lines | 11 |
| Input Devices | LiDAR, Camera, Encoder Motors, IMU, Ultrasonic Sensor, Buttons |
| Output Devices | Motors, OLED Display, Buzzer |
| Communication | MicroROS Wireless, USART, I2C, SPI |
| Expansion Interfaces | USART, I2C, SPI, Sensor Expansion Ports |
| Display | OLED (mode & voltage display) |
| Battery Capacity | 2200mAh Battery Pack |
| Battery Protection | Over-charge, Over-current, Over-discharge, Short-circuit |
| Battery Working Time | Approx. 20 hours (self-balancing & static) |
| Charging Method | 12.6V–2A Power Adapter (DC4017 Port) |
| Power Output Port | DC5521 Elbow Discharge Port |
| Body Material | Metal + PCB + Acrylic |
| Dimensions (L × W × H) | 194 × 115.59 × 127.59 mm |
| Weight | 1060 g |
What processors does the MicroROS Self-balancing Car use?
It uses a dual-processor architecture: STM32F103RCT6 for motor control and ESP32-S3-WROOM-1U-N4R2 for MicroROS wireless communication.
Can this robot support external sensors or upgrades?
Yes, it features onboard expansion interfaces for adding custom sensors, modules, and accessories.
Is the robot compatible with ROS2 and SLAM?
Yes, it fully supports ROS2, MicroROS, SLAM mapping, navigation, and AI vision applications.
What is the maximum load capacity?
The robot supports up to 4 kg load while maintaining stable self-balancing performance.
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About MicroROS Self-balancing Car Robot Support 4KG Load Vision Kit by Iotcart
Buy MicroROS Self-balancing Car Robot with STM32+ESP32, ROS2, LiDAR, AI Camera. Supports 4kg load, SLAM, navigation. Compatible with Arduino/Raspberry Pi.
Categorised under: Advanced Kits› Robotic Kits› DIY Car Kits