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The project aims to use a trained model in the YOLO network to detect objects that will be detected by the robot structure with a computer on which ROS has been installed. ROS manages the individual packages used in the project.
This software is used to view and interactively use all important data and information about the robot and the control unit. This graphical user interface (gui) consists of two programs, one for the driver and the other for the assistant for the robot arm.
NKU AI Colledg 2023 Spring:Robot Software Engineering Homework(Based on turtlebot2 and guyueBot but introduce ros noetic control library meanwhile intergate with tts and tf-objectdetection )