Results 221 to 230 of about 121,625 (284)

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

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

Food's future: sustainability and agricultural robotics. [PDF]

Front Robot AI
Nleya SM, Ndlovu S, Velempini M.
europepmc   +1 more source

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

Advanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk, Johannes Zeininger, Luis Sandoval‐Diaz, Günther Rupprechter, Beatriz Roldan Cuenya, Karsten Reuter, Thomas Lunkenbein, Christoph Scheurer   +7 more
wiley   +1 more source

Editorial: Advances in robotic surgery: innovations, applications, and future directions. [PDF]

Front Surg
Pecorino B, Maniaci A, Umile A, La Via L, Zanghì A.   +4 more
europepmc   +1 more source

Fully 3D‐Printed Wave‐Wound Electromagnetic Motors

Advanced Materials Technologies, EarlyView.
This work presents the first fully 3D‐printed wave‐wound electromagnetic motors, which are created using conductive nanoparticle inks, carbon‐filled nylon polymers, and surface mount components. These motors can achieve a stall torque of 7.62N·mmA−1$7.62 \nobreakspace N{\cdot }mm A^{-1}$ and efficiency of 28.2 %, which approaches the performance of ...
Joseph Schwalbe, Sebastian Mettes, Eduardo Francke, Kenneth W. Allen, Yi Chen Mazumdar   +4 more
wiley   +1 more source

Dynamic grasping system based on visual algorithm and robot arm collaboration in logistics production line. [PDF]

PLoS One
He B, Chen B.
europepmc   +1 more source

Magnetic Droplet Manipulation on Open Surfaces

Advanced Materials Technologies, EarlyView.
Recent advances in the manipulation of magnetic droplets demonstrate various manipulations on open surfaces, including transport, splitting, merging, and force‐controlled motion, enabled by magnetic particles and external fields. ABSTRACT Manipulation of liquids on a smaller scale enables applications in various fields, particularly diagnostics and ...
Robab Jahangir, Vahid Nasirimarekani
wiley   +1 more source

Path planning for volumetric flask grasping based on visual guidance and multi-constraint optimization. [PDF]

PLoS One
Yuan Z, Li M, Wang C.
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