摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者在马里兰州College Park的新闻报道，研究表明：“柔软和轻量级的Grippe RS极大地提高了机器人操作具有不同形状、纹理和硬度的复杂物体的性能。然而，通用抓取与被动传感能力的结合仍然存在挑战。”这项研究的财政支持来自A.詹姆斯-克拉克工程学院。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in College Park , Maryland, by NewsRx journalists, research stated, “Soft and lightweight grippe rs have greatly enhanced the performance of robotic manipulators in handling com plex objects with varying shape, texture, and stiffness. However, the combinatio n of universal grasping with passive sensing capabilities still presents challen ges.” Financial support for this research came from A. James Clark School of Engineeri ng.
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