Results 221 to 230 of about 405,169 (366)

Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a developed methodology to achieve robust tactile perception with spatially designed electronic skin (e‐skin) utilizing laser‐induced graphene (LIG). To enhance LIG‐based e‐skin, the fabrication of the e‐skin is simplified and advanced decoding algorithms are employed, effectively circumventing several intrinsic issues of ...
Gyeonghwa Heo   +4 more
wiley   +1 more source

The association of lunate morphology with the development of wrist pathology in the Saudi population. [PDF]

open access: yesJ Family Community Med
Alomri AA   +8 more
europepmc   +1 more source

Liquid Metal Reversible Contacts for Flexible Tactile Sensor with High Sensitivity and Wide Detection Range

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a novel flexible tactile sensor based on the unconventional reversible contact behavior between liquid metal droplets (LMDs), with high‐pressure sensitivity and a broad working range. The 2‐LMD‐based sensor is capable of monitoring human motion and physiological signals, while electrical impedance tomography enables precise shape and
Shuai Dong   +6 more
wiley   +1 more source

Heterotopic ossification following total wrist arthroplasty: a case report. [PDF]

open access: yesJ Med Case Rep
Schmidt SV   +5 more
europepmc   +1 more source

Soft Robots Proprioception Through Stretchable Laser‐Induced Graphene Strain Sensors

open access: yesAdvanced Intelligent Systems, EarlyView.
This study demonstrates the potential of laser‐induced graphene and silicone sensors for soft pneumatic grippers’ proprioception. The sensors are thin, stretchable, mechanically transparent, and easy to integrate. Finite‐element method analysis identifies the finger's neutral bending plane and four sensor positions are tested to validate the ...
Giovanna De Luca   +6 more
wiley   +1 more source

Invariant Neuromorphic Representations of Tactile Stimuli Improve Robustness of a Real‐Time Texture Classification System

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a method to create neuron‐like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and contact force applied in the tactile sensing process. In offline and real‐time experiments, these representations improve classification accuracy, computational efficiency, and the ability to identify textures
Mark M. Iskarous   +9 more
wiley   +1 more source

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