简单传感器中的三轴力自解耦功能

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

Nature Machine Intelligence Pub Date : 2024-11-27 DOI:10.1038/s42256-024-00941-4

Kuanming Yao, Qiuna Zhuang

引用次数: 0

摘要

自解耦触觉传感器大大缩短了三维力测量的校准时间，从立方（N³）扩展到线性（3N）。这一进步促进了人机界面中的机器人触觉感知。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Self-decoupling three-axis forces in a simple sensor

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Self-decoupling three-axis forces in a simple sensor

A self-decoupling tactile sensor dramatically reduces calibration time for three-dimensional force measurement, scaling from cubic (N³) to linear (3N). This advancement facilitates robotic tactile perception in human–machine interfaces.

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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.