Yahboom Jetson Nano 4GB SUB AI Python Program ROS Adult Robot Kit Autonomous Driving Training Ackerman Structure Learning Teaching Research Model Training Map Optional (Autopilot Ver Without Nano)

Produktbeschreibung

Complete the code programming of the R2L robot based on the Robot Operating System (ROS), demonstrating the latest autonomous driving and AI recognition technology. Multiple controls, like all premium kits, this robotics kit comes with a remote control handle and a user interface, that can be accessed from a mobile device or PC. Enjoy being in control. Unterstützt Jetson NANO 4GB SUB developed based on ROS and Ubuntu operating systems. The robot must be controlled by the development board, otherwise it cannot be started. We apply 2MP high-definition cameras and combinine them with some recognition algorithms to achieve model training, autonomous driving, object recognition, label tracking and other functions. Like other Yahboom robot cars, R2L supports APP/handle expression control. The R2L robot adopts the Ackerman chassis structure design. While using the structural advantages to reduce power consumption, the car turns more smoothly, faster and more accurately, thus improving the competition efficiency. This is a cool thing in model game competitions. The self-driving version comes with a 3.2 x 2.8m (125 x 110 in) curved driving map. The R2L robot kit has trained a model for this map, and other configurations are the same as the standard version. Conistent. Keep in mind that programmable kits require you to have at least some basic understanding of coding and setting parameters, so you'll have to learn a lesson or two about coding and programming languages in order to use the product. We provide 80 courses with chinese and english subtitles to help users quickly get started with model training of autonomous driving and ROS operating systems., Hersteller: Yahboom