PART1: Building Low-Cost Differential Wheeled Robot For Machine Learning, SLAM, and ROS
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This is part 1 of the tutorial on how to build a low-cost differential wheeled robot platform capable of demonstrating advanced projects involving machine learning, reinforcement learning, computer vision, SLAM, navigation, and autonomous driving. The goal is to develop a low-cost platform that can be integrated with Arduino, Raspberry Pi, and NVIDIA Jetson Nano. Also, the robot will be completely integrated with Robot Operating System (ROS).
Смотрите видео PART1: Building Low-Cost Differential Wheeled Robot For Machine Learning, SLAM, and ROS онлайн, длительностью часов минут секунд в хорошем качестве, которое загружено на канал Aleksandar Haber PhD 16 Август 2023. Делитесь ссылкой на видео в социальных сетях, чтобы ваши подписчики и друзья так же посмотрели это видео. Данный видеоклип посмотрели 1,104 раз и оно понравилось 20 посетителям.
