Results 211 to 220 of about 199,057 (290)

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

Advanced 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, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Granular Jamming in Soft Robotics: Simulation Frameworks and Emerging Possibilities-Review. [PDF]

Biomimetics (Basel)
Hrehova S, Hošovský A, Husár J, Krenický T.   +3 more
europepmc   +1 more source

Additive‐Manufactured, Multifunctional Bioreactor Technology for Dynamic Culture of 3D Bioprinted Tissue Models

Advanced Materials Technologies, EarlyView.
We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger, Johann Schorzmann, Hsuan‐Heng Lu, Muhammad Osama, Julian Bauer, Michael Haug, Oliver Friedrich, Aldo R. Boccaccini, Frank Döpper, Sahar Salehi   +9 more
wiley   +1 more source

Skin‐Like Tri‐Modal Sensors Based on Soft Piezoelectric and Ionic Composites

Advanced Materials Technologies, EarlyView.
Inspired by the multimodal perception of human skin, a soft, skin‐like tri‐modal sensor is presented. The device incorporates an ionically conductive, piezoelectric, elastic composite as its active layer, enabling independent detection of temperature, static strain, and dynamic strain within a single two‐terminal architecture.
Liren Wang, Peter Zalar, Vishva Bhate, Takeo Furukawa, Hidekazu Kodama, Yijun Liu, Yuanyuan Zhou, Chuang Hou, Siyuan Liu, Naoji Matsuhisa   +9 more
wiley   +1 more source

AI-Driven Revolution of Medical Robotics Across Surgical Innovation, Rehabilitation Intelligence, and Multimodal Healthcare Delivery. [PDF]

MedComm (2020)
Chen F, Chen H, Yu T, Wang R, Wang Y, Zhang X, Li J, Liu K, Hai D, Bao X, Mo Z, Yang D, Wang Z, Lin Y, Xia Q, Yang G, Shuai J.   +16 more
europepmc   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

S3PM: Entropy-Regularized Path Planning for Autonomous Mobile Robots in Dense 3D Point Clouds of Unstructured Environments. [PDF]

Sensors (Basel)
Sazonov A, Kuchkin O, Cherepanska I, Lipnickas A.   +3 more
europepmc   +1 more source

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

Advanced 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, Dulcce A. Valenzuela, Parag V. Chitnis, Shirin Movaghgharnezhad   +3 more
wiley   +1 more source

DCRDF-Net: A Dual-Channel Reverse-Distillation Fusion Network for 3D Industrial Anomaly Detection. [PDF]

Sensors (Basel)
Wang C, Chen J, Zhang H.
europepmc   +1 more source

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

Advanced 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, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source