Results 231 to 240 of about 460,856 (296)

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

open access: yesAdvanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang   +7 more
wiley   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi   +4 more
wiley   +1 more source

Towards Human‐Centered Intelligent Inhabitable Spaces: A Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review introduces Robot‐Rooms as a new category of architectural‐scale robots that do not operate within a space but actively form and reconfigure the space around their occupants. Drawing from robotics, HCI, architecture, and the arts, an interdisciplinary framework is proposed that maps the enabling technologies and integration challenges ...
Nithesh Kumar   +3 more
wiley   +1 more source

Crease‐Encoded Soft Origami Chambers: A Unified Design‐to‐Fabrication Framework for Low‐Pressure Pneumatic Joints

open access: yesAdvanced Intelligent Systems, EarlyView.
Origami turns a single silicone chamber into three different soft fluidic actuators. Crease angles alone decide whether it elongates, bends, or twists, and the fully folded chambers are cast monolithically in one day. Below 15 kPa, they reach 268% axial stretch, 72° bending, and 55° twist—no strain‐limiting layers, no rigid reinforcements, no vacuum ...
Alexia Le Gall   +4 more
wiley   +1 more source

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu   +11 more
wiley   +1 more source

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