In conclusion, the current robot grasping technology is widely used in various scenarios, and relevant detection and grasping algorithms have made significant progress. However, the current robot grasping work still relies mainly on traditional machine vision algorithms, and the accuracy and robustness of grasping need to be improved. With the rapid development of AI technology, leveraging the advantages of deep learning-based object detection technology is expected to improve the grasping performance of robots. Therefore, the incorporation of AI technology in robot grasping is a promising trend for the future development of the field.

润色扩充下面一段话:综上所述当前机器人抓取技术广泛应用于各种场景且相关的检测抓取算法研究也取得了长足的进步。但现阶段的机器人抓取工作主要还是依靠传统的机器视觉算法抓取的准确性和鲁棒性有待提高。而随着AI技术的快速发展借助基于深度学习目标检测技术的优势有望提高机器人的抓取性能。

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