软机器人技术领域需要可重复的研究

IF 18.8 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Nature Machine Intelligence Pub Date : 2024-07-17 DOI:10.1038/s42256-024-00869-9

Robert Baines, Dylan Shah, Jeremy Marvel, Jennifer Case, Andrew Spielberg

引用次数: 0

摘要

近年来，软机器人技术（包括软抓手、可拉伸传感器和人机交互平台）的商业化进程不断加快。然而，这种商业化的趋势落后于其他机器人技术在其各自生命周期中同等阶段的发展趋势。例如，第一项工业机器人机械手专利申请于 1954 年，不到二十年，机器人机械手就被广泛应用于世界各地的装配线上1。相比之下，尽管软体机器人技术起源于 20 世纪 80 年代，并在 2004 年左右开始大量出版，但在社会上却很少见2。造成这种应用差距的主要原因是缺乏标准的不确定性，以及难以复制已发表的解决方案。迄今为止，在软机器人技术领域，新颖性占主导地位。迄今为止，软体机器人技术的研究都是以新颖性为主导，很少强调对各项研究进行严格比较，因此软体机器人技术缺乏标准基准、衡量标准、数据集、测量和表征工作流程以及制造配方。这些挑战体现在各个领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Machine Intelligence Multiple-

CiteScore

36.90

自引率

2.10%

发文量

127

期刊介绍： Nature Machine Intelligence is a distinguished publication that presents original research and reviews on various topics in machine learning, robotics, and AI. Our focus extends beyond these fields, exploring their profound impact on other scientific disciplines, as well as societal and industrial aspects. We recognize limitless possibilities wherein machine intelligence can augment human capabilities and knowledge in domains like scientific exploration, healthcare, medical diagnostics, and the creation of safe and sustainable cities, transportation, and agriculture. Simultaneously, we acknowledge the emergence of ethical, social, and legal concerns due to the rapid pace of advancements. To foster interdisciplinary discussions on these far-reaching implications, Nature Machine Intelligence serves as a platform for dialogue facilitated through Comments, News Features, News & Views articles, and Correspondence. Our goal is to encourage a comprehensive examination of these subjects. Similar to all Nature-branded journals, Nature Machine Intelligence operates under the guidance of a team of skilled editors. We adhere to a fair and rigorous peer-review process, ensuring high standards of copy-editing and production, swift publication, and editorial independence.