Results 111 to 120 of about 3,625,950 (296)
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Dissociating linguistic processes in the left inferior frontal cortex with transcranial magnetic stimulation [PDF]
Is the left inferior frontal cortex (LIFC) a single functional region, or can it be subdivided into distinct areas that contribute differently to word processing?
Nobre, AC, Devlin, JT, Gough, PM
core +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
A Semantic Wiki Based Light-Weight Web Application Model
Wikis are a well-known Web 2.0 content management platform. The recent introduction of semantic wikis extends the capabilities of conventional wikis by allowing users to edit and query structured semantic annotations (e.g., categories and typed links ...
Paul R. Smart +11 more
core +2 more sources
Large language models (LLMs) and other artificial intelligence systems are trained using extensive DIKWP resources (data, information, knowledge, wisdom, purpose).
Yingtian Mei, Yucong Duan
doaj +1 more source
Flavour processing in semantic dementia
The cognitive mechanisms for the analysis of flavour information remain poorly understood. Patients with semantic dementia (SD) could potentially provide a window on these mechanisms; however, while abnormal eating behaviour and altered food preferences are common in SD, flavour processing has been little studied in this disorder.
Piwnica-Worms, Katherine E. +3 more
openaire +2 more sources
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal +5 more
wiley +1 more source
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
The spatial interference effect, whereby words with implicit spatial associations (e.g., ‘bird’) hinder identification of unrelated visual targets (e.g., a square) at the associated locations (i.e., at the top of a display), has been demonstrated many ...
Elisa Scerrati, Zachary Estes
doaj +1 more source

