Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32, Image Processing AI Visual Recognition(VM Not Support MAC) (Ultimate-Version)

Produktbeschreibung

The MicroROS balancing car integrates STM32 and ESP32 dual processors, equipped with a metal chassis, a high-power reduction motor and 6-axis IMU attitude sensor. It can not only achieve 4KG load balance and easily cope with the challenge of climbing, but also achieve obstacle avoidance or following functions through the ultrasonic module, and the OLED screen can display data in real time. Equipped with TOF lidar and ROS image transmission module, it supports wireless transmission of key sensor data such as lidar, odometer, camera image to the virtual machine system through MicroROS, and the virtual machine performs complex computing tasks to realize radar mapping navigation and AI visual interaction applications. Help you quickly build your own balancing car project. Provides mapping navigation APP (Android/iOS) and Bluetooth control APP (Android). You can directly view the mapping screen and camera screen on the APP; the main control interface can observe the movement status of the balancing car at any time. 5 basic gameplays, posture recognition, with a six-axis IMU, to achieve automatic balance; adopts a three-layer structure, effective load 4KG, while carrying weight can still be remotely controlled. Interconnected control enables multi-machine formation. Under the same map, multiple robots complete single-point navigation and multi-point navigation, dynamic obstacle avoidance; multi-machine keyboard control. What can you learn? The balance car is easy to assemble, suitable for teenagers to get some hands-on experience and learn basic programming knowledge. Professional robot enthusiasts can also enjoy it by customizing and adding more functions to this kit. We provide detailed code in English, source code, if you have any problems in use, please contact us for technical help., Hersteller: Yahboom