Results 251 to 260 of about 5,885,991 (322)

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang   +5 more
wiley   +1 more source

Self-supervised learning analysis of multi-FISH labeled cell-type map in thick brain slices. [PDF]

open access: yesFront Neurosci
Zheng W   +7 more
europepmc   +1 more source

Unilateral Ankle‐Foot Exoneuromusculoskeleton with Balance‐Sensing Feedback for Self‐Help Telerehabilitation after Stroke

open access: yesAdvanced Robotics Research, EarlyView.
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye   +16 more
wiley   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasks. [PDF]

open access: yesSci Rep
Krenmayr L   +5 more
europepmc   +1 more source

Rewiring Neuroimmunity: Nanoplatform Innovations for CNS Disease Therapy

open access: yesAdvanced Therapeutics, EarlyView.
This review explores emerging nanoplatform strategies designed to modulate neuroimmune responses for treating central nervous system (CNS) disorders. It examines structural and microenvironmental barriers, advances in multifunctional and targeted nanotechnologies, and highlights clinical progress and translational challenges, offering insights into the
Muhammad Usman Akbar   +7 more
wiley   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

open access: yesAdvanced Theory and Simulations, EarlyView.
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain   +2 more
wiley   +1 more source

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