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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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http://dx.doi.org/10.3390/s22218390 | DOI Listing |
ACS Appl Mater Interfaces
August 2025
College of Electronic and Information Engineering, Shandong University of Science and Technology, 266590 Qingdao, China.
Tactile sensing devices with skin-like perception capabilities are a prerequisite for the application of industrial robots in intelligent manufacturing. However, current tactile pressure sensors face challenges in simultaneously quantifying both static pressure and dynamic sliding stimuli with high accuracy, which hinders robotic arms from maintaining stable gripping operations. In this paper, a flexible composite tactile sensor with equivalent gradient modulus (EGM) is proposed.
View Article and Find Full Text PDFPancreatology
July 2025
Department of Hepatobiliary-Pancreatic Surgery, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan; Medical Technology Innovation Center, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. Electronic address:
Background/objectives: The surgical pancreatic texture (SPT), which is determined by palpation during surgery, can predict postoperative pancreatic fistulae (POPF) but is subjective. This observational study examined the accuracy and feasibility of our objective "Acinar Score (AS)" in predicting POPF based on acinar cell counts histologically confirmed during surgery.
Methods: Patients who underwent pancreaticoduodenectomy (PD) at a single institution were enrolled.
Imaging Neurosci (Camb)
October 2024
Institute of Neuroscience, Université Catholique de Louvain, Woluwe-Saint-Lambert, Belgium.
Dynamic tactile perception and discrimination of textures require the ability to encode and differentiate complex vibration patterns elicited at the level of the skin when sliding against a surface. Whether the primary somatosensory cortex (S1) can encode the fine-grained spectrotemporal features distinguishing textures remains debated. To address this question, electroencephalography (EEG) frequency-tagging approach was used to characterize responses to vibrotactile oddball contrasts between two textures.
View Article and Find Full Text PDFSci Rep
July 2025
School of Sport Engineering, Beijing Sport University, Beijing, 100084, China.
Balanced posture is essential in sports training, rehabilitation therapy, and robotic control. The application of biofeedback technology has significantly improved postural stability, particularly in individuals with sensory disorders. In practical applications, thermal biofeedback is regarded as an optimal method for enhancing posture control.
View Article and Find Full Text PDFIEEE Int Conf Rehabil Robot
May 2025
Sensory deficits caused by neurological disorders, i.e., loss of tactile sensitivity and/or limb proprioception, hinder object manipulation and precise movements, and ultimately lead to a significant slow-down in motor rehabilitation.
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