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Indoor Service Robot Design with ROS and Deep Learning

This paper introduces an intelligent indoor service robot designed for tasks like object recognition, path planning, and obstacle avoidance. Leveraging ROS framework and deep learning techniques, the robot employs YOLOv3 for object detection and compares different SLAM algorithms for mapping and navigation.

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