Results 131 to 140 of about 231,583 (292)

Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s

open access: yesAdvanced Functional Materials, EarlyView.
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu   +6 more
wiley   +1 more source

In Situ 3D Bioprinting: Impact of Cross‐Linking on the Adhesive Properties of Hydrogels

open access: yesAdvanced Functional Materials, EarlyView.
In situ 3D bioprinting enables the direct deposition of cell‐laden, adhesive biomaterials for on‐site tissue regeneration. This review provides a comprehensive overview of how cross‐linking influences the bioadhesive properties of hydrogels used in 3D bioprinting, highlighting cross‐linking triggers, bioadhesion mechanisms, polymer interpenetration ...
Odile Romero Fernandez   +4 more
wiley   +1 more source

The efficiency of robotic hand exoskeleton system in stroke patients: A pilot randomized controlled single blind trial

open access: yesJournal of Stroke and Cerebrovascular Diseases
Objective: This study aims to investigate the effects of the Robotic Hand Exoskeleton system on spasticity, motor control skills, activities of daily living, quality of life, and functional independence in stroke patients. Design: A randomized controlled
Fatma Öztürk   +5 more
doaj   +1 more source

A vision-based telerobotic control station [PDF]

open access: yes
A telerobotic control station is described. In it, a machine vision system measures the position, orientation, and configuration of a user's hand. A robotic manipulator mirrors the status of the hand.
Tillotson, Brian
core   +1 more source

Anomalous Pressure‐Temperature Ultrahigh Sensitivities in Atomically Engineered Carbonitride MXenes for Multifunctional Wearable Human–Machine Interfaces: Joint Computational–Experimental Elucidations

open access: yesAdvanced Functional Materials, EarlyView.
Atomically engineered layered 2D Ti3CNTz carbonitride MXene exhibits ultrahigh heat and pressure sensitivity, enabling dual‐mode sensors with 300%–400% performance enhancement and durability for real‐time health‐monitoring interface devices. Precise nitrogen incorporation (e.g., Ti3C1.8N0.2Tz) boosts conductivity, enhancing temperature response, while ...
Debananda Mohapatra   +12 more
wiley   +1 more source

4D‐Printed Magneto‐Plasmonic Microrobots for Programmable Spatiotemporal De‐Icing

open access: yesAdvanced Functional Materials, EarlyView.
A 4D‐printing strategy is introduced to achieve programmable de‐icing devices. By aligning gold–magnetite nanofillers within a photosensitive resin, the printed structures exhibit dual magnetic and plasmonic functionalities, enabling precise spatio‐temporal ice removal through thermoplasmonic effects.
Amélie Pérot   +7 more
wiley   +1 more source

3D Printing in the Design and Fabrication of Anthropomorphic Hands: A Review

open access: yesAdvanced Intelligent Systems
In this article, 3D‐printed anthropomorphic hands for prosthetic or robotic applications are reviewed as 3D printing has transformed manufacturing by enabling the creation of intricate structures layer by layer, offering design freedom and efficiency ...
Jonghoo Park   +4 more
doaj   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

open access: yesAdvanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong   +7 more
wiley   +1 more source

Unsupervised state representation learning with robotic priors: a robustness benchmark

open access: yes, 2017
Our understanding of the world depends highly on our capacity to produce intuitive and simplified representations which can be easily used to solve problems. We reproduce this simplification process using a neural network to build a low dimensional state
Díaz-Rodríguez, Natalia   +4 more
core  

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