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Advancements and Applications of Biomimetic Sensors Technologies
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Advancements and Applications of Biomimetic Sensors Technologies

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 2485

Special Issue Editor

Dr. Huichao Zhu

E-Mail Website
Guest Editor
School of Control Science and Engineering, Dalian University of Technology, Dalian 116000, China
Interests: machine olfaction and machine tactility

Special Issue Information

Dear Colleagues,

Biomimetic sensors are advanced technologies inspired by biological systems, designed to replicate or mimic specific functions and properties found in living organisms. These sensors excel in detecting and sensing physical and chemical information from solid and fluid substances in the environment, with enhanced sensitivity, speed, and accuracy. By emulating biological systems’ structure, function, and principles, biomimetic sensors have enabled real-time monitoring and control in biomedical applications, environmental monitoring, robotics, and autonomous systems.

Biomimetic sensors are capable of sensing physical information, including mechanics, thermodynamics, electricity, magnetism, acoustics, and optics, as well as chemical information, such as composition, concentrations, and reaction rates. Biomimetic sensors can also be applied to bionic robots, simulating the sensory functions of biological systems such as vision, hearing, touch, smell, taste, balance, thermal sensation, and magnetoreception. This integration allows for the development of robots and systems that can interact with their surroundings in a more intuitive and adaptive manner, mirroring natural organisms’ sophistication and versatility.

Overall, biomimetic sensor technologies and robots have the potential to revolutionise multiple fields by offering advanced sensing capabilities and innovative solutions to complex challenges in healthcare, environmental monitoring, robotics, and beyond. Continued research and development in these areas are expected to drive further advancements and broaden the applications of biomimetic technologies in the future.

Dr. Huichao Zhu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • inspired sensors
  • bionic robots
  • biological modelling sensors
  • nature-mimicking sensors
  • biofunctional sensors
  • biomimetic sensors
  • biomimetic membrane systems

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Published Papers (2 papers)

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16 pages, 4713 KiB  
Article
Cutting-Edge Vibration Sensor Morphologically Configured by Mimicking a Tactile Cutaneous Receptor Using Magnetic-Responsive Hybrid Fluid (HF)
by Kunio Shimada
Sensors 2025, 25(11), 3366; https://doi.org/10.3390/s25113366 - 27 May 2025
Viewed by 238
Abstract
Vibration sensors are important in many engineering fields, including industry, surgery, space, and mechanics, such as for remote and autonomous driving. We propose a novel, cutting-edge vibratory sensor that mimics human tactile receptors, with a configuration different from current sensors such as strain [...] Read more.
Vibration sensors are important in many engineering fields, including industry, surgery, space, and mechanics, such as for remote and autonomous driving. We propose a novel, cutting-edge vibratory sensor that mimics human tactile receptors, with a configuration different from current sensors such as strain gauges and piezo materials. The basic principle involves the perception of vibration via touch, with a cutaneous mechanoreceptor that is sensitive to vibration. We investigated the characteristics of the proposed vibratory sensor, in which the mechanoreceptor was covered either in hard rubber (such as silicon oil) or soft rubber (such as urethane), for both low- and high-frequency ranges. The fabricated sensor is based on piezoelectricity with a built-in voltage. It senses applied vibration by means of hairs in the sensor and the hardness of the outer cover. We also investigated two proposed parameters: the sensor response time to stimuli to the vibration aiding the equivalent firing rate (e.f.r.) and the gauge factor (GF,pe) proposed as treated in piezo-resistivity. The evaluation with the parameters was effective in designing a sensor based on piezoelectricity. These parameters were enhanced by the hairs in the sensor and the hardness of the outer cover. Our results were helpful for designing the present novel vibratory sensor. Full article
(This article belongs to the Special Issue Advancements and Applications of Biomimetic Sensors Technologies)
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15 pages, 3233 KiB  
Article
Performance Evaluation of a Bioinspired Geomagnetic Sensor and Its Application for Geomagnetic Navigation in Simulated Environment
by Hongkai Shi, Ruiqi Tang, Qingmeng Wang and Tao Song
Sensors 2024, 24(19), 6477; https://doi.org/10.3390/s24196477 - 8 Oct 2024
Cited by 1 | Viewed by 1476
Abstract
For geomagnetic navigation technology, taking inspiration from nature and leveraging the principle of animals’ utilization of the geomagnetic field for long-distance navigation, and employing biomimetic technology to develop higher-precision geomagnetic sensors and more advanced navigation strategies, has emerged as a new trend. Based [...] Read more.
For geomagnetic navigation technology, taking inspiration from nature and leveraging the principle of animals’ utilization of the geomagnetic field for long-distance navigation, and employing biomimetic technology to develop higher-precision geomagnetic sensors and more advanced navigation strategies, has emerged as a new trend. Based on the two widely acknowledged biological magnetic induction mechanisms, we have designed a bioinspired weak magnetic vector (BWMV) sensor and integrated it with neural networks to achieve geomagnetic matching navigation. In this paper, we assess the performance of the BWMV sensor through finite element model simulation. The result validates its high measurement accuracy and outstanding adaptability to installation errors with the assistance of specially trained neural networks. Furthermore, we have enhanced the bioinspired geomagnetic navigation algorithm and proposed a more advanced search strategy to adapt to navigation under the condition of no prior geomagnetic map. A simulated geomagnetic navigation platform was constructed based on the finite element model to simulate the navigation of the BWMV sensor in geomagnetic environments. The simulated navigation experiment verified that the proposed search strategy applied to the BWMV sensor can achieve high-precision navigation. This study proposes a novel approach for the research of bioinspired geomagnetic navigation technology, which holds great development prospects. Full article
(This article belongs to the Special Issue Advancements and Applications of Biomimetic Sensors Technologies)
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