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In this article, we report on a highly sensitive tactile shear sensor that was able to detect minute levels of shear and surface slip. The sensor consists of a suspended elastomer diaphragm with a top ridge structure, a graphene layer underneath, and a bottom substrate with multiple spatially digitized contact electrodes. When shear is applied to the top ridge structure, it creates torque and deflects the elastomer downwards. Then, the graphene electrode makes contact with the bottom spatially digitized electrodes completing a circuit producing output currents depending on the number of electrodes making contact. The tactile shear sensor was able to detect shear forces as small as 6 μN, detect shear direction, and also distinguish surface friction and roughness differences of shearing objects. We also succeeded in detecting the contact slip motion of a single thread demonstrating possible applications in future robotic fingers and remote surgical tools.
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http://dx.doi.org/10.3390/s19061300 | DOI Listing |
Microsyst Nanoeng
September 2025
School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China.
Tactile sensors are crucial in robotics and medical diagnostics, requiring precise real-time detection. However, the development of a compact sensor that can measure force across a wide range, with high resolution and rapid response along three axes, remains extremely limited. Herein, an opto-electro-mechanical tactile sensor is reported, utilizing a monolithically integrated GaN-based optochip with a fingerprint-patterned polydimethylsiloxane (PDMS) film.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Bio-Inspired Robotics Laboratory, University of Cambridge, Cambridge CB2 1PZ, UK.
Much as the information generated by our fingertips is used for fine-scale grasping and manipulation, closed-loop dexterous robotic manipulation requires rich tactile information to be generated by artificial fingertip sensors. In particular, fingertip shear sensing dominates modalities such as twisting, dragging, and slipping, but there is limited research exploring soft shear predictions from an increasingly popular single-material tactile technology: electrical impedance tomography (EIT). Here, we focus on the twisting of a screwdriver as a representative shear-based task in which the signals generated by EIT hardware can be analyzed.
View Article and Find Full Text PDFNat Commun
August 2025
Max Planck Institute for Intelligent Systems, Tübingen, Germany.
Robots can benefit from touch perception for enhanced interaction. Interaction involves tactile sensing devices, contact objects, and complex directional force motions (normal and shear) in between. We introduce a comprehensive theory unifying them to advance sensor design, explain shear-induced performance drops, and suggest application scenarios.
View Article and Find Full Text PDFSci Adv
August 2025
Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, Nanyang Technological University, Singapore, Singapore.
The growing demand for dexterous and autonomous robotic manipulation highlights the need for advanced sensing and control strategies, particularly for slip prevention. Although soft grippers provide intrinsic compliance and adaptability, their effectiveness is often limited by the lack of real-time sensory feedback and the complexity of soft actuator dynamics. Inspired by human tactile perception, we developed a bioarchitectonics-inspired soft slip sensor with a three-dimensional structure that leverages crack and stress concentration to enhance sensitivity to incipient slip and shear force.
View Article and Find Full Text PDFFriction modulation allows for a range of different tactile sensations and textures to be simulated on flat touchscreens, yet is largely unable to render fundamental interactions such as tracing the edge of a line or shape; an edge consists of straddling two different states, yet friction modulating screens traditionally apply only one friction force at a time to the whole finger. In order to expand the range of sensations rendered via friction modulation, in this paper we explore the possibility of applying spatial feedback on the fingerpad via differing friction forces on flat touchscreens. To this end, we fabricated six distinct flat surfaces with different spatial distributions of friction and calculated deformation of the fingerpad skin in response to motion along these physical samples.
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