Results 101 to 110 of about 38,647 (287)
Bioinspired Morphology‐Decoupled Soft Gripper with Enhanced Bidirectional Grasping Capability
Inspired by biological predation, a novel gripper decouples cross‐modal grasping via dual morphological configurations. Synergistically integrating hybrid rigid and soft coupled fingers with a metamaterial palm, the system performs active compliant grasping for static objects and passive cage capture for dynamic targets.
Yedong Huang +4 more
wiley +1 more source
Extended Object Tracking: Introduction, Overview and Applications
This article provides an elaborate overview of current research in extended object tracking. We provide a clear definition of the extended object tracking problem and discuss its delimitation to other types of object tracking.
Baum, Marcus +2 more
core
Invertebrates are the classic neuroscience models and should make a comeback. Invertebrate organisms can be a more ethical and cost‐effective way to move bioelectronics research forward more rapidly. ABSTRACT The accelerating development of bioelectronic neural interfaces has brought increased attention to ethical considerations surrounding in vivo ...
Eric Daniel Głowacki
wiley +1 more source
Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis
This review highlights advances in nano‐ and microstructured catalysts for electrochemical seawater conversion. It elucidates design principles, mechanistic understanding, and machine‐learning‐assisted discovery, and outlines key challenges and future opportunities toward efficient, selective, and durable seawater electrocatalysis.
Xiaodong Shao +5 more
wiley +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Remote-Access Marine Robotics Infrastructure and Experiments at LABUST
Marine robotics is a complex field with a potentially high demanding logistics and high deployment cost. This is a barrier to many research groups. On the other hand, some research groups have substantial equipment and infrastructure that are typically ...
Fausto Ferreira +7 more
doaj +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source

