摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的最新研究结果已经发表。根据来自英国曼彻斯特的新闻，由NewsRx记者报道，研究称，“在这篇文章中，”本文旨在对工业软刚并联刚性抓握机构进行比较分析，以期为工业软刚性抓握机构的设计提供参考。比较它们的技术能力，评估软R IGID抓取器应对挑战的潜力抓取各种形状和大小的易碎物体。本文首次研制了24个软刚夹具通过使用Web of Science数据库的范围审查确定，捕捉其技术特征和表现。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According tonews originating from Manchester, United K ingdom, by NewsRx correspondents, research stated, “In thisresearch, it is aime d to present a comparative analysis of soft-rigid industrial parallel rigid grip pers tocompare their technical capabilities and assess the potential for soft-r igid grippers to address the challengeof grasping fragile objects with various shapes and sizes. In this research, 24 soft-rigid grippers are firstidentified through a scoping review using the Web of Science database, capturing their tech nical featuresand performance.”
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