Advanced Science
·
2024
·Vol. 11
·期 41
·2402705
·
IF 14.3
Yue Jiang,Lin Fan,Xilong Sun,Zehe Luo,Herong Wang,Rucong Lai,Jie Wang,Qiyang Gan,Ning Li,Jindong Tian
Humans recognize and manipulate objects relying on the multidimensional force features captured by the tactile sense of skin during the manipulation. Since the current sensors integrated in robots cannot support the robots to sense the multiple interaction states between manipulator and objects, achieving human-like perception and analytical capabilities remains a major challenge for service robots. Prompted by the tactile perception involved in robots performing complex tasks, a multimodal tactile sensory system is presented to provide in situ simultaneous sensing for robots when approaching, touching, and manipulating objects. The system comprises a capacitive sensor owning the high sensitivity of 1.11E-2 pF mm −1 , a triboelectricity nanogenerator with the fast response speed of 30 ms, and a pressure sensor array capable of 3D force detection. By Combining transfer learning models, which fuses multimodal tactile information to achieve high-precision (up to 95%) recognition of the multi-featured targets such as random hardness and texture information under random sampling conditions, including random grasp force and velocity. This sensory system is expected to enhance the intelligent recognition and behavior-planning capabilities of autonomous robots when performing complex tasks in undefined surrounding environments.
研究领域:
机器人学
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传感器技术
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人工智能
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产品关联
DOI
PubMed
高影响因子
ACS Applied Materials & Interfaces
·
2023
·
IF 9.5
Min Su,Jianting Fu,Zixiao Liu,Pei Li,Guojun Tai,Pengsai Wang,Lei Xie,Xueqin Liu,Ximin He,Dapeng Wei,Jun Yang
Flexible pressure sensors are increasingly sought after for applications ranging from physiological signal monitoring to robotic sensing; however, the challenges associated with fabricating highly sensitive, comfortable, and cost-effective sensors remain formidable. This study presents a high-performance, all-fabric capacitive pressure sensor (AFCPS) that incorporates piezoelectric nanofibers. Through the meticulous optimization of conductive fiber electrodes and P(VDF-TrFE) nanofiber dielectric layers, the AFCPS exhibits exceptional attributes such as high sensitivity (4.05 kPa–1), an ultralow detection limit (0.6 Pa), an extensive detection range (∼100 kPa), rapid response time (<26 ms), and robust stability (>14,000 cycles). The sensor’s porous structure enhances its compressibility, while its piezoelectric properties expedite charge separation, thereby increasing the interface capacitance and augmenting overall performance. These features are elucidated further through multiphysical field-coupling simulations and experimental testing. Owing to its comprehensive superior performance, the AFCPS has demonstrated its efficacy in monitoring human activity and physiological signals, as well as in discerning soft robotic grasping movements. Additionally, we have successfully implemented multiple AFCPS units as pressure sensor arrays to ascertain spatial pressure distribution and enable intelligent robotic gripping. Our research underscores the promising potential of the AFCPS device in wearable electronics and robotic sensing, thereby contributing significantly to the advancement of high-performance fabric-based sensors.
研究领域:
材料科学
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电子工程
·
生物医学工程
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产品关联
DOI
PubMed
高影响因子
Nano-Micro Letters
·
2024
·Vol. 17
·期 1
·1-15
·
IF 31.6
Yin Hao,Li Yanting,Tian Zhiying,Li Qichao,Jiang Chenhui,Liang Enfu,Guo Yiping
Monitoring minuscule mechanical signals, both in magnitude and direction, is imperative in many application scenarios, e.g., structural health monitoring and robotic sensing systems. However, the piezoelectric sensor struggles to satisfy the requirements for directional recognition due to the limited piezoelectric coefficient matrix, and achieving sensitivity for detecting micrometer-scale deformations is also challenging. Herein, we develop a vector sensor composed of lead zirconate titanate-electronic grade glass fiber composite filaments with oriented arrangement, capable of detecting minute anisotropic deformations. The as-prepared vector sensor can identify the deformation directions even when subjected to an unprecedented nominal strain of 0.06%, thereby enabling its utility in accurately discerning the 5 μm-height wrinkles in thin films and in monitoring human pulse waves. The ultra-high sensitivity is attributed to the formation of porous ferroelectret and the efficient load transfer efficiency of continuous lead zirconate titanate phase. Additionally, when integrated with machine learning techniques, the sensor’s capability to recognize multi-signals enables it to differentiate between 10 types of fine textures with 100% accuracy. The structural design in piezoelectric devices enables a more comprehensive perception of mechanical stimuli, offering a novel perspective for enhancing recognition accuracy.
研究领域:
生物医学工程
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传感器技术
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智能材料
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结构健康监测
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机器人学
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可穿戴设备
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力学感知
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转化医学
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DOI
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2025
·
IF 13.2
Shuo Zhang,Liuqi Ji,Siyuan Wang,Yunduo Yi,Dakai Wang,Changchao Zhang,Bo Li,Shichao Niu,Junqiu Zhang,Zhiwu Han,Luquan Ren
Flexible pressure sensors with high sensitivity and a broad pressure range are critical to practical applications such as smart healthcare, human-machine interfaces, and remote precision control. However, under high pressure, the deformation of microscale sensing structures in flexible materials becomes saturated, sharply reducing sensitivity and limiting accurate monitoring across a broad pressure range. Inspired by human fingertips, a bioinspired multiscale heterogeneous gradient sensing strategy was designed to realize an ionic capacitive pressure sensor combining high sensitivity with a wide pressure detection. The sensor exhibits a maximum sensitivity of 622.8 kPa −1 , while maintaining a stable sensitivity of 74.4 kPa −1 even under high pressure up to 350 kPa. Moreover, the sensor demonstrates a fast response time of 38 ms and excellent stability over 20,000 cycles. As proof of concept, the bioinspired sensor was successfully applied to wearable physiological signal monitoring, robotic object recognition, and remote unmanned aerial vehicle control, highlighting its potential to integrate high sensitivity with a broad operating range.
研究领域:
生物医学工程
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柔性电子学
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传感技术
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人机交互
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康复工程
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智能医疗
✓ 已验证
产品关联
DOI
高影响因子
ACS Applied Materials & Interfaces
·
2025
·
IF 8.2
Yuan Pan,Kaifeng Chen,Yi Liu,Yuxuan Liu,Mengting He,Zhite Xie,Zongrong Wang
Flexible piezoresistive sensors (FPSs) with high sensitivity and conformability are crucial for achieving fine operations in electronic gloves. In this work, a chemical grafting method is used to ensure strong interfacial bonding between the conductive phase and the flexible polyimide (PI) matrix with a high glass transition temperature (Tg). This design helps to tackle the stress relaxation and interfacial debonding problems commonly faced by FPSs. Silver fiber electrodes are prepared by in situ reduction of silver nanoparticles on PI fibers to further improve the sensitivity. This FPS is characterized by high sensitivity (214.6 kPa–1), low response time and recovery time (44 and 42 ms, respectively), outstanding recoverable performance (with a low hysteresis of 4.58% FS), and remarkable dynamic stability (a 3.6% decay of signal intensity after 24,000 cycles). An all-fiber flexible piezoresistive sensor array glove has been constructed to achieve conformal contact with the robot hand. Furthermore, comprehensive detection of multipoint pressures on the hand and high-sensitivity tactile perception for the robot hand have been achieved.
研究领域:
材料科学
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传感器技术
·
机器人感知
✓ 已验证
产品关联
DOI
PubMed
高影响因子
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