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Gotowa bibliografia na temat „FBG Tactile sensors”

Autor: Grafiati

Data publikacji: 6 września 2023

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Artykuły w czasopismach na temat "FBG Tactile sensors"

Heo, Jin Seok, Jong Ha Cheung i Jung Ju Lee. "Flexible Force Sensors Using Fiber Bragg Grating". Key Engineering Materials 326-328 (grudzień 2006): 1343–46. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.1343.

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In this paper, we present a newly designed flexible optical fiber force sensors which use fiber Bragg gratings and diaphragm and bridge type transducer, to detect a distributed normal force and which is the first step toward realizing a tactile sensor using optical fiber sensors (FBG). The transducer is designed such that it is not affected by chirping and light loss to enhance the performance of the sensors. We also present the design and fabrication process and experimental verification of the prototype sensors.

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Saccomandi, Paola, Calogero Maria Oddo, Loredana Zollo, Domenico Formica, Rocco Antonio Romeo, Carlo Massaroni, Michele Arturo Caponero i in. "Feedforward Neural Network for Force Coding of an MRI-Compatible Tactile Sensor Array Based on Fiber Bragg Grating". Journal of Sensors 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/367194.

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This work shows the development and characterization of a fiber optic tactile sensor based on Fiber Bragg Grating (FBG) technology. The sensor is a 3×3 array of FBGs encapsulated in a PDMS compliant polymer. The strain experienced by each FBG is transduced into a Bragg wavelength shift and the inverse characteristics of the sensor were computed by means of a feedforward neural network. A 21 mN RMSE error was achieved in estimating the force over the 8 N experimented load range while including all probing sites in the neural network training procedure, whereas the median force RMSE was 199 mN across the 200 instances of a Monte Carlo randomized selection of experimental sessions to evaluate the calibration under generalized probing conditions. The static metrological properties and the possibility to fabricate sensors with relatively high spatial resolution make the proposed design attractive for the sensorization of robotic hands. Furthermore, the proved MRI-compatibility of the sensor opens other application scenarios, such as the possibility to employ the array for force measurement during functional MRI-measured brain activation.

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Lu, Guan, Shiwen Fu, Tianyu Zhu i Yiming Xu. "Research on Finger Pressure Tactile Sensor with Square Hole Structure Based on Fiber Bragg Grating". Sensors 23, nr 15 (3.08.2023): 6897. http://dx.doi.org/10.3390/s23156897.

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Aiming at the problems of lateral force interference and non-uniform strain of robot fingers in the process of pressure tactile sensing, a flexible tactile sensor with a square hole structure based on fiber Bragg grating (FBG) is proposed in this paper. Firstly, the optimal embedding depth of the FBG in the sensor matrix model was determined by finite element simulation. Secondly, according to the size of the finger knuckle and the simulation analysis based on the pressure tactile sensor element for the robot finger, the square hole structure was designed, and the overall dimensions of the sensing element and size of the square hole were determined. Thirdly, the FBG was embedded in the polydimethylsiloxane (PDMS) elastic matrix to make a sensor model, and the tactile sensor was fabricated. Finally, the FBG pressure tactile sensing system platform was built by using optical fiber sensing technology, and the experiment of the FBG tactile sensor was completed through the sensing system platform. Experimental results show that the tactile sensor designed in this paper has good repeatability and creep resistance. The sensitivity is 8.85 pm/N, and the resolution is 0.2 N. The loading sensitivity based on the robot finger is 27.3 pm/N, the goodness of fit is 0.996, and the average value of interference in the sensing process is 7.63%, which is lower than the solid structure sensor. These results verify that the sensor can effectively reduce the lateral force interference and solve the problem of non-uniform strain and has high fit with fingers, which has a certain application value for the research of robot pressure tactile intelligent perception.

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Lu, Guan, Shiwen Fu i Yiming Xu. "Design and Experimental Research of Robot Finger Sliding Tactile Sensor Based on FBG". Sensors 22, nr 21 (1.11.2022): 8390. http://dx.doi.org/10.3390/s22218390.

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Aiming at the problem of flexible sliding tactile sensing for the actual grasp of intelligent robot fingers, a double-layer sliding tactile sensor based on fiber Bragg grating (FBG) for robot fingers is proposed in this paper. Firstly, the optimal embedding depth range of FBG in the elastic matrix of polydimethylsiloxane (PDMS) was determined through finite element analysis and static detection experiments of finger tactile sensing. Secondly, the sensor structure is optimized and designed through the simulation and dynamic experiments of sliding sensing to determine the final array structure. Thirdly, the sensing array is actually pasted on the surface of the robot finger and the sensing characteristics testing platform is built to test and analyze the basic performance of the sliding tactile sensor. Then, the sensor array is actually attached to the finger surface of the robot and the sensing characteristics testing platform is built to experiment and analyze the basic performance of the sliding tactile sensor. Finally, a sliding tactile sensing experiment of robot finger grasping is conducted. The experimental results show that the sliding tactile sensor designed in this paper has good repeatability and creep resistance, with sensitivities of 12.4 pm/N, 11.6 pm/N, and 14.5 pm/N, respectively, and the overall deviation is controlled within 5 pm. Meanwhile, it can effectively sense the signals of the robot fingers during static contact and sliding. The sensor has a high degree of fit with the robot finger structure, and has certain application value for the perception of sliding tactile signals in the object grasping of intelligent robot objects.

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Prasad, Asha, Suneetha Sebastian i Sundarrajan Asokan. "FBG Tactile Sensor for Surface Thickness and Shape Measurement". IEEE Sensors Journal 21, nr 9 (1.05.2021): 10695–702. http://dx.doi.org/10.1109/jsen.2021.3060481.

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Qin, Wei, Qi Jiang i Guozhao Wei. "A two-range tactile sensor integrated in three-layer elastomer based on FBG". Smart Materials and Structures 30, nr 6 (4.05.2021): 065011. http://dx.doi.org/10.1088/1361-665x/abfa68.

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Preatoni, Greta, Francesca Dell’Eva, Giacomo Valle, Alessandra Pedrocchi i Stanisa Raspopovic. "Reshaping the full body illusion through visuo-electro-tactile sensations". PLOS ONE 18, nr 2 (1.02.2023): e0280628. http://dx.doi.org/10.1371/journal.pone.0280628.

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The physical boundaries of our body do not define what we perceive as self. This malleable representation arises from the neural integration of sensory information coming from the environment. Manipulating the visual and haptic cues produces changes in body perception, inducing the Full Body Illusion (FBI), a vastly used approach to exploring humans’ perception. After pioneering FBI demonstrations, issues arose regarding its setup, using experimenter-based touch and pre-recorded videos. Moreover, its outcome measures are based mainly on subjective reports, leading to biased results, or on heterogeneous objective ones giving poor consensus on their validity. To address these limitations, we developed and tested a multisensory platform allowing highly controlled experimental conditions, thanks to the leveraged use of innovative technologies: Virtual Reality (VR) and Transcutaneous Electrical Nerve Stimulation (TENS). This enabled a high spatial and temporal precision of the visual and haptic cues, efficiently eliciting FBI. While it matched the classic approach in subjective measures, our setup resulted also in significant results for all objective measurements. Importantly, FBI was elicited when all 4 limbs were multimodally stimulated but also in a single limb condition. Our results behoove the adoption of a comprehensive set of measures, introducing a new neuroscientific platform to investigate body representations.

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Swinkels, Lieke M. J., Harm Veling i Hein T. van Schie. "The Redundant Signals Effect and the Full Body Illusion: not Multisensory, but Unisensory Tactile Stimuli Are Affected by the Illusion". Multisensory Research 34, nr 6 (9.04.2021): 553–85. http://dx.doi.org/10.1163/22134808-bja10046.

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Abstract During a full body illusion (FBI), participants experience a change in self-location towards a body that they see in front of them from a third-person perspective and experience touch to originate from this body. Multisensory integration is thought to underlie this illusion. In the present study we tested the redundant signals effect (RSE) as a new objective measure of the illusion that was designed to directly tap into the multisensory integration underlying the illusion. The illusion was induced by an experimenter who stroked and tapped the participant’s shoulder and underarm, while participants perceived the touch on the virtual body in front of them via a head-mounted display. Participants performed a speeded detection task, responding to visual stimuli on the virtual body, to tactile stimuli on the real body and to combined (multisensory) visual and tactile stimuli. Analysis of the RSE with a race model inequality test indicated that multisensory integration took place in both the synchronous and the asynchronous condition. This surprising finding suggests that simultaneous bodily stimuli from different (visual and tactile) modalities will be transiently integrated into a multisensory representation even when no illusion is induced. Furthermore, this finding suggests that the RSE is not a suitable objective measure of body illusions. Interestingly however, responses to the unisensory tactile stimuli in the speeded detection task were found to be slower and had a larger variance in the asynchronous condition than in the synchronous condition. The implications of this finding for the literature on body representations are discussed.

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Qu, Juntian, Baijin Mao, Zhenkun Li, Yining Xu, Kunyu Zhou, Xiangyu Cao, Qigao Fan i in. "Recent Progress in Advanced Tactile Sensing Technologies for Soft Grippers". Advanced Functional Materials, 27.08.2023. http://dx.doi.org/10.1002/adfm.202306249.

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AbstractTactile sensing technology is crucial for soft grippers. Soft grippers equipped with intelligent tactile sensing systems based on various sensors can interact safely with the unstructured environments and obtain precise properties of objects (e.g., size and shape). It is essential to develop state‐of‐the‐art sensing technologies for soft grippers to handle different grasping tasks. In this review, the development of tactile sensing techniques for robotic hands is first introduced. Then, the principles and structures of different types of sensors normally adopted in soft grippers, including capacitive tactile sensors, piezoresistive tactile sensors, piezoelectric tactile sensors, fiber Bragg grating (FBG) sensors, vision‐based tactile sensors, triboelectric tactile sensors, and other advanced sensors developed recently are briefly presented. Furthermore, sensing modalities and methodologies for soft grippers are also described in aspects of force measurement, perception of object properties, slip detection, and fusion of perception. The application scenarios of soft grippers are also summarized based on these advanced sensing technologies. Finally, the challenges of tactile sensing technologies for soft grippers that need to be tackled are discussed and perspectives in addressing these challenges are pointed out.

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Li, Tianliang, Zebin Zhao, Xiong Li, Yuegang Tan i Zude Zhou. "RSM-based Data-driven Optimized Design of a 3D-Printed Building Block-type FBG Tactile Sensor for Nursing Robots". IEEE Transactions on Instrumentation and Measurement, 2023, 1. http://dx.doi.org/10.1109/tim.2023.3277970.

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Rozprawy doktorskie na temat "FBG Tactile sensors"

Prasad, Asha. "Design and Development of Fiber Bragg Grating Tactile Sensing Devices for Novel Applications in Engineering and Biomedical Fields". Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5622.

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Among the five human basic senses, touch is thought to be the sense that makes the world 'real' to us. Tactile sensors are a category of artificial sensors that acquire information through physical touch. Tactile sensors sense various external stimuli, such as temperature, vibration, texture, shape, softness, and normal and shear forces. In this thesis work, the design and development of novel Fiber Bragg Grating tactile sensor-based devices are presented. Further, novel packaging methodologies for FBG sensors are described. Finally, newer engineering and biomedical applications of the proposed devices are demonstrated. A diaphragm-micro-stylus-based FBG tactile sensor has been designed and developed, which can potentially be used for reading Standard English Grade-1 Braille cells. Theoretical modeling and numerical simulation of the device design have been described. The experimental results demonstrate the feasibility and the real-time applicability of the proposed FBG Tactile sensor as a Standard English Grade -1 Braille reader. A fiber Bragg grating tactile displacement sensor has been designed and developed for surface thickness and shape measurement. Theoretical modeling and numerical simulation of the sensor packaging have been discussed. Further, the proposed device’s applications in measuring thin film layer coating thickness and surface shape identification have been demonstrated. Furthermore, a new tactile thermal sensing pad has been devised for breast cancer detection based on thermography using an array of FBG sensors. The simulation process of breast tissue and the tumor is described, and the simulated tissue's surface temperature variations have been studied by varying the heater temperature. Modeling of the tissue-mimicking phantom and tumor in COMSOL Multiphysics software is discussed. Finally, a feasibility study of the device has been carried out by comparing the experimental and simulated results, and the initial result looks promising to be adopted in real-world scenarios.

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Streszczenia konferencji na temat "FBG Tactile sensors"

Jin-Seok Heo i Jung-Ju Lee. "Temperature Sensor Array for Tactile Sensation Using FBG Sensors". W 2006 5th IEEE Conference on Sensors. IEEE, 2006. http://dx.doi.org/10.1109/icsens.2007.355910.

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Durini, Federica, Giuseppe Terruso, Jessica D'Abbraccio, Mariangela Filosa, Giulia Fransvea, Domenico Camboni, Andrea Aliperta, Eduardo Palermo, Luca Massari i Calogero Maria Oddo. "Soft large area FBG tactile sensors for exteroception and proprioception in a collaborative robotic manipulator". W 2021 Smart Systems Integration (SSI). IEEE, 2021. http://dx.doi.org/10.1109/ssi52265.2021.9466957.

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Hieu, Tran Trong, Paul C. P. Chao, Yu-Jen Wang i Chun-Chieh Wang. "A New Method for Calibrating a Six-DOF Joint Force/Torque Sensor". W ASME 2014 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/isps2014-6969.

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One of the main senses that humans use to interact with their environment is the sense of touch and this is currently the major aim of many research projects of robots in varied forms. The measurement of the multi-dimension interactive force between the human hand and interaction device such as hand-controllers, joysticks, limb rehabilitation devices, etc., becomes important components. Encoders are installed in each joint for position-sensing feedbacks while tactile sensors are often installed at the fingertip of a hand to detect contacts [1][2][3][4]. There have been varied sensor structures, one of which is shown in Fig. 1 [5]. The method of structure design used in Song’s research [5] is for a 4-degree-of-freedom (DOF) force/torque sensor. The resulted error is larger than 1%. Although it is better than the error from commercial 6-DOF force/torque sensors, the error of 1% is still unsatisfactory for some applications, especially for precision robots.

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Qi, Jiang, i Wang Junjie. "Research of Single FBG Tactile Sensor Based on Tissue Palpation". W 2018 IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE). IEEE, 2018. http://dx.doi.org/10.1109/irce.2018.8492950.

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Frishman, Samuel, Julia Di, Zulekha Karachiwalla, Richard J. Black, Kian Moslehi, Trey Smith, Brian Coltin, Bijan Moslehi i Mark R. Cutkosky. "A Multi-Axis FBG-Based Tactile Sensor for Gripping in Space". W 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2021. http://dx.doi.org/10.1109/iros51168.2021.9635998.

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Barlow, H. B., i D. J. Tolhurst. "Why do you have edge detectors?" W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.fb1.

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If information overload is an important problem in vision, the following tactic would be useful: Define clusters of sensory events that occur more often than expected by chance, and use these as the primitives or coding elements for the next stage of representation. This approach has several merits: the non-chance occurrence of the clusters implies a causative factor in the environment that is recognized and captured, the clusters exploit correlated activity to reduce redundancy, and the clusters are representative elements that correspond to substantial amounts of signal energy. We know that bars and edges are used as primitives, so do they really occur more often than expected by chance in natural images? To answer this we have determined the distributions of (i) pixel intensities, (ii) average values of circular or square patches of pixels, (iii) averages for elongated patches of pixels, and (iv) averages for randomly selected pixels using natural images, pre-whitened images, random dot patterns, and Glass figures made with paired random dots.

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Kinnicutt, Lorenzo, Jungjae Lee, Janae Oden, Leah Gaeta, Sean Carroll, Anushka Rathi, Zi Heng Lim i in. "A Soft Laparoscopic Grasper for Retraction of the Small Intestine". W THE HAMLYN SYMPOSIUM ON MEDICAL ROBOTICS. The Hamlyn Centre, Imperial College London London, UK, 2023. http://dx.doi.org/10.31256/hsmr2023.51.

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Laparoscopy can improve outcomes and patient re- covery times compared to open surgery. However, the minimally-invasive nature of these procedures deprives clinicians of tactile feedback which, when coupled with pinching graspers that deliver high-stress concentrations, increases the likelihood of inflicting iatrogenic trauma upon tissues, especially the small intestine [1]–[4]. Retraction of the small intestine is often necessary to vi- sualize and access nearby tissues [5], [6]. Commercially- available devices rely on passive structures to hold intestinal segments and do not embed compliance [7]. Prior research on surgical retractors has focused on granular jamming [5], pneumatic balloons [6], and either cable-driven [8] or vacuum [9] graspers. However, these devices are challenging to integrate into surgical work- flows, require auxiliary instruments, and do not provide feedback regarding tissue interaction forces. We introduce a laparoscopic grasper capable of passing through an 18 mm trocar, expanding to a controllable width once inside the abdominal cavity, and safely enveloping the small intestine to enable retraction. Upon entry into the abdominal cavity, the grasper estab- lishes an initial hold on a target intestinal segment by pulling vacuum through the suction unit on its distal tip (Fig. 1[a]); this functionality helps the surgeon isolate the target intestinal segment from surrounding bundles. Once a preliminary suction hold has been established, the grasper envelops the intestine by inflating a pair of pneumatic fiber-reinforced soft actuators (FRSAs) (Fig. 1[b]-[c]), whose separation can be modulated up to 40 mm using a miniaturized scissor lift mechanism (MSLM). This approach distributes the force necessary to grasp and hold the intestine over a large surface area (i.e., the whole surface of the FRSAs) rather than concentrating it in a small region, allowing safe, robust grasps even on dilated intestinal segments. Inflation of the FRSAs and suction are controlled using two buttons (Fig. 1 [d]). The horizontal position of the FRSAs and the separation between them are independently actuated via two linear motors, which the surgeon controls using a rocker switch and trigger, respectively (Fig. 1 [d]). Each actuator is equipped with two soft sensors to interpret 3D interaction forces via a machine learning algorithm.

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guoqiang, Sun, i Xu wu. "Ergonomics Experiment Research on Visual Characteristics of Head-Up-Display Failure Warning". W Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002839.

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With the gradual adaptation of HUD (Head-Up-Display) in civil transportation, it was normal for civil pilots or even drivers to use it. Howev-er, any failure warning of airplane HUD was so fatal that required pilot to search for it immediately and make correct response to recover. As the pri-mary indicator of HUD warning, failure flag was well-designed especially in visual coding, which directly affected pilot’s recognition and acquisition of warning information. This research developed ergonomics experiment of HUD simulation interface and designed character size of failure flag as ex-periment variable. The participants were required to perform signal detection task and response to signal (warning occurred) or noise (no warning) accord-ingly. Therefore, both sensitivity and response bias were measured to analyze visual characteristics of failure flag and its influence on HUD warning.The mechanical failures of airplane were mainly caused by unreasonable mecha-nism structures or improper system operations, which was excluded from conse-quence of any manually operation or other outside factors . And the failure flag was shown on HUD when the sensor status was unavailable and the same parameter from different sources did not match . The representative mechanical failure flags were included with indicated airspeed warning, barometrical altitude warning, head-ing warning and ground proximity warning. Moreover, HUD failure warning could be displayed in various channels of visual, auditory and tactile manners, and the first two were most widely used channels . The visual channel of HUD failure warning was normally designed in visual coding technology, which was involved with size, position, salient of blink or textbox frame. And the auditory channel focused on volume and tone of warning voice. Specifically, the minimum character size of failure flag was 1/200 of the visual field distance, i.e., at least 0.18-inch character was required to be shown on HUD at distance of 36-inch away. In addition, the aspect ratio for English letter was required as 3:5 , and its typeface was selected as Arial . To analyze the effect of visual coding on failure flag on HUD, this research firstly developed HUD interface simu-lation, and then carried out ergonomics experiment to validate the influence of char-acter size.3.2Experiment InterfaceAs shown in Fig.3, the experiment interface was displayed on 17-inch computer screen with visual distance of 60cm. The screen resolution was 1440×900 and aver-age luminance was 120cd/m2. The participants were required to interact with exper-iment computer through normal mouse and keyboard. The HUD interface was simu-lated on GL Studio platform, and the experiment was realized using C++ and net communication technology on Visual Studio 2012. Each interaction with experiment computer was recorded and output when the experiment task was completed.3.4Experimental TaskThe participants were required to perform signal detection task during the experi-ment block, followed by the order of Latin Square fashion. And each block lasted for ten minutes with interval of five minutes. Moreover, the failure flag was designed to occur at possibility of 75%, with noise-signal ratio as 1:3. To response each failure flag, they need to press corresponding button of W/A/S/D/E on keyboard according to the specific warning. And SPACE button was expected to be pressed when no warning was shown.ResultsBoth statistics analysis and signal detection method were used to process the exper-iment results. First, descriptive statistics was used to illustrate central tendency and dispersion degree of detection performance. Then, repeated measured ANOVA was used to examine the effect of character size. In addition, sensitivity d’ and response bias were processed to evaluate the influence of failure warning based on signal detection theory.

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