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Updated: Jul 9, 2025

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基于改进的YOLOv5算法和RealSense深度摄像头的机器人接指导系统

Maoyong Li1, Jiqiang Huang2, Long Xue1

  • 1Beijing Key Laboratory of Opto-Electromechanical Equipment Technology, Beijing Institute of Petrochemical Technology, Beijing, 102617, China.

Scientific reports
|December 2, 2023
PubMed
概括

这项研究介绍了一种改进的YOLOv5算法,配备了RealSense深度摄像头,用于自主机器人接指导. 该系统准确地检测接槽,提高机器人的自主性和接生产率.

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