Results 111 to 120 of about 65,907 (244)

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

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

open access: yesAdvanced 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   +12 more
wiley   +1 more source

Design and analysis of modular pneumatic soft crawling robots

open access: yesJixie chuandong
ObjectiveThe modular soft robot has high flexibility and unlimited degrees of freedom in theory, and can adapt to various complex environments and task requirements.
YIN Hongfei, LÜ Yuedong, SONG Xiaojuan
doaj  

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Dynamic Current Routing in Conductive Liquid Crystal Elastomers for Complex Deformation Actuators

open access: yesAdvanced Materials Technologies, EarlyView.
This work introduces a novel actuation control strategy in which electrical stimulation generates localized Joule heating in conductive liquid crystal elastomer (LCE) surfaces, enabling complex 3D deformations from a single homogeneous surface without preprogramming.
Gloria PouWai Lei   +2 more
wiley   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

open access: yesAdvanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee   +4 more
wiley   +1 more source

Tectonic transition and extension at the eastern and western ends of the Altyn Tagh fault: insights from triple junctions

open access: yesDizhi lixue xuebao
Objective  The Altyn Tagh fault (ATF) is the largest left-lateral strike-slip fault on the northern margin of the Qinghai-Tibet Plateau, extending for about 1600 km.
YI Kexin, JOLIVET Marc, GUO Zhaojie
doaj   +1 more source

Microstructured Electrode‐Piezopolymer Interface for Ultrasound Transducers With Enhanced Flexibility and Acoustic Performance

open access: yesAdvanced Materials Technologies, EarlyView.
Flexible piezopolymer ultrasound transducers are engineered by tailoring the electrode–piezopolymer interface using metallic, flake‐based, and porous graphene electrodes. Laser‐induced graphene's porous structure enables polymer infiltration, strengthening interfacial coupling and enhancing piezoelectric response and acoustic output.
Spencer Hagen   +3 more
wiley   +1 more source

Bidirectional Motion of the Windmill Type Ultrasonic Linear Motor [PDF]

open access: yesJournal of the Korean Institute of Electrical and Electronic Material Engineers, 2003
openaire   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

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