Results 181 to 190 of about 4,286,438 (239)

In Situ Formation of Ni‐P‐O‐C Interfaces in DLP‐Printed Carbon Microlattices for Efficient Alkaline Hydrogen Evolution

open access: yesAdvanced Materials Technologies, EarlyView.
Graphical abstract illustrating the fabrication of Ni–P–O–C porous carbon microlattice electrodes by DLP printing of Ni/P precursor‐containing resin followed by high‐temperature carbonization. The resulting conductive microlattice acts directly as the HER cathode in alkaline electrolyte, where in situ formed Ni–P–O–C interfaces provide active sites for
Muzahir Ali   +6 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

open access: yesAdvanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim   +6 more
wiley   +1 more source

Autonomous Reconfigurable Modular Conductive Hydrogels for Adaptive and Degradable Bioelectronic Interfaces

open access: yesAdvanced Materials Technologies, EarlyView.
Bridging rigid electrodes with soft, irregular tissues demands more than conductivity alone. Modular conductive hydrogels autonomously reconfigure into conformal electrode‐tissue interfaces, coupling mixed ionic‐electronic conduction with tissue‐like mechanics, self‐healing, and degradability.
Matthew K. Burgess   +4 more
wiley   +1 more source

An All‐Fabric Wearable System for Human‐Machine Interaction

open access: yesAdvanced Materials Technologies, EarlyView.
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane   +3 more
wiley   +1 more source

Parameter Investigation for Stamp Manufacturing of Complex 3D Geometries Using Nanoimprint Lithography

open access: yesAdvanced Materials Technologies, EarlyView.
Nanoimprint lithography can replicate complex 3D microstructures with undercuts using single‐layer polymer stamps of different elasticities. By combining experiments and simulations, T‐shaped geometries and suitable undercut radii were identified that minimize stress and defects during demolding.
Christos Julianos Karapatzakis   +3 more
wiley   +1 more source

Residual Tetramethylammonium Hydroxide Limits ZnO Nanoparticle‐Based Quantum Dot Light‐Emitting Diode Performance

open access: yesAdvanced Optical Materials, EarlyView.
Residual tetramethylammonium hydroxide (TMAH) from ZnO nanoparticle (NP) synthesis is uncovered as a hidden impurity that migrates into quantum dot emissive layers during thermal processing. The resulting exciton quenching reduces the efficiency of quantum dot light‐emitting diodes despite improved electron transport upon annealing.
Ganghyun Park   +6 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

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