采用单目相机的18自由度手集成力-位置多模态感知

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Shiwei Chen, Jiapeng Li, Zhiming Deng, Peiji Wang, Cheng Wei, Xibin Cao
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引用次数: 0

摘要

拟人化的手在人机交互任务中起着至关重要的作用。然而,目前很少有人手能够以低成本的方式实现高自由度的多模态感知。在这里,我们提出了一个灵巧的手,实现多模态传感仅通过一个相机。手有18自由度,但不需要任何位置或力传感器,使其具有成本效益和易于制造。我们为手开发了一个集成的前臂,同时提供驱动和多模态传感信息。这包括18个关节角度,5个指尖位置和接触力,以及物体柔软度和轮廓的信息。感知的核心原理是摄像机可以同时跟踪所有肌腱的位移和张力。多模态感知模型是通过表征肌腱特性并将其与手部动力学耦合而建立的。实验表明,我们的手在多模态感知和灵巧性方面具有潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An 18-DOF hand integrating force–position multimodal perception using a monocular camera

An 18-DOF hand integrating force–position multimodal perception using a monocular camera

The anthropomorphic hand plays a crucial role in human-machine interaction tasks. However, there are very few hands that realize multimodal perception with high degrees of freedom (DOF) in a low-cost way. Here, we present a dexterous hand that achieves multimodal sensing solely through a camera. The hand has 18 DOF but does not require any position or force sensors, making it cost-effective and easy to manufacture. We develop an integrated forearm for the hand that provides both actuation and multimodal sensing information simultaneously. This includes the 18 joint angles, 5 fingertip positions and contact forces, and information on object softness and contour. The core principle of perception is that the camera can track the displacement and tension of all tendons simultaneously. The multimodal perception model is developed by characterizing tendon properties and coupling them with the hand dynamics. Experiments indicate that our hand has potential in multimodal sensing and dexterity.

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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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