A Bio-Inspired Event-Driven Mechanoluminescent Visuotactile Sensor for Intelligent Interactions

IF 18.5 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Kit-Wa Sou, Wang-Sing Chan, Kai-Chong Lei, Zihan Wang, Shoujie Li, Dengfeng Peng, Wenbo Ding
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引用次数: 0

Abstract

Event-driven sensors are essential for real-time applications, yet the integration of current technologies faces limitations such as high cost, complex signal processing, and vulnerability to noise. This work introduces a bio-inspired mechanoluminescence visuotactile sensor that enables standard frame-based cameras to perform event-driven sensing by emitting light only under mechanical stress, effectively acting as an event trigger. Drawing inspiration from the biomechanics of canine teeth, the sensor utilizes a rod-patterned array to enhance mechanoluminescent signal sensitivity and expand the contact surface area. In addition, a machine learning-enabled algorithm is designed to accurately analyze the interaction-triggered mechanoluminescence signal in real-time. The sensor is integrated into a quadruped robot's mouth interface, demonstrating enhanced interactive capabilities. The system successfully classifies eight interactive activities with an average accuracy of 92.68%. Comprehensive tests validate the sensor's efficacy in capturing dynamic tactile signals and broadening the application scope of robots in interaction with the environment.

Abstract Image

用于智能交互的仿生事件驱动机械发光视觉触觉传感器
事件驱动传感器对于实时应用至关重要,但当前技术的集成面临着诸如高成本、复杂的信号处理和易受噪声影响等限制。这项工作介绍了一种生物启发的机械发光视觉触觉传感器,它使基于标准帧的相机能够通过仅在机械应力下发光来执行事件驱动传感,有效地充当事件触发器。从犬齿的生物力学中汲取灵感,该传感器利用杆状阵列来提高机械发光信号的灵敏度并扩大接触表面积。此外,设计了一种支持机器学习的算法,可以实时准确地分析相互作用触发的机械发光信号。该传感器集成到四足机器人的嘴部界面中,展示了增强的交互能力。该系统成功分类了8个交互活动,平均准确率为92.68%。综合试验验证了该传感器在捕捉动态触觉信号方面的有效性,拓宽了机器人与环境交互的应用范围。
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来源期刊
Advanced Functional Materials
Advanced Functional Materials 工程技术-材料科学:综合
CiteScore
29.50
自引率
4.20%
发文量
2086
审稿时长
2.1 months
期刊介绍: Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.
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