Results 251 to 260 of about 303,254 (335)

Some problems in the development of a total shoulder endo-prosthesis.

open access: green, 1972
Brian Reeves   +4 more
openalex   +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

Enhanced Actuation Stress in Variable Stiffness Liquid Crystal Elastomers

open access: yesAdvanced Intelligent Systems, EarlyView.
Liquid crystal elastomers (LCEs) filled with low‐melting‐point alloy particles exhibit a fivefold increase in actuation stress and tunable stiffness. At low filler concentrations, mechanically enhanced network entropy boosts force output, while higher concentrations enable variable stiffness. This composite design mimics muscle‐like behavior, advancing
Sophia Eristoff   +2 more
wiley   +1 more source

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo   +5 more
wiley   +1 more source

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