Results 121 to 130 of about 103,708 (231)

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study. [PDF]

PLOS Digit Health
Templin T, Song S, Fort S, Sinnott-Armstrong N.   +3 more
europepmc   +1 more source

Degradation Mechanisms in PEM Water Electrolysis: Diagnosis and Impact

Advanced Materials Technologies, EarlyView.
This review provides an analysis of degradation mechanisms in proton electrolyte membrane water electrolyzers (PEMWE), focusing on all key components. It discusses diagnostic and measurement techniques for evaluating degradation, less‐studied mechanisms, and an expert survey.
Annik Bernhardt, Katja Lange, Robert Göckeritz, Erik Grunwald, Angelika Hähnel, Alexander Müller, Volker Naumann, Sistan Rasuli, Wolfram Münchgesang, Bruno G. Pollet, Kerstin Witte‐Bodnar, Klemens Ilse   +11 more
wiley   +1 more source

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

A reinforcement learning and sequential sampling model constrained by gaze data. [PDF]

PLoS Comput Biol
Hayes WM, Touchard MJ.
europepmc   +1 more source

Reinforcement learning

Scholarpedia, 2008
Bernd Porr, Florentin Woergoetter
openaire   +1 more source

3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics

Advanced Materials Technologies, EarlyView.
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah, Konstantin Sakharov, Pooi See Lee, Shlomo Magdassi   +3 more
wiley   +1 more source

Estimating the motor exploration in reinforcement learning. [PDF]

iScience
Zai AT, Lorenz C, Srikantharajah S, Giret N, Hahnloser RHR.   +4 more
europepmc   +1 more source

Adhesive Double‐Network Granular Organogel E‐Skin

Advanced Materials Technologies, EarlyView.
We introduce a double‐network granular organogel adhesive for electronic skin, overcoming adhesion and strength trade‐offs. It provides reversible, robust bonding and ionic conductivity, enabling wearable and soft robotic e‐skin. Thanks to the e‐skin adhesive, a soft robotic trunk can recognize touch, temperature, humidity, and acidity.
Antonia Georgopoulou, Benhui Dai, Kadence Shen Yu Chow, Josie Hughes, Esther Amstad   +4 more
wiley   +1 more source