Results 121 to 130 of about 56,684 (305)
DIKWP Semantic Judicial Reasoning: A Framework for Semantic Justice in AI and Law
Semantic modeling of legal reasoning is an important research direction in the field of artificial intelligence and law (AI and law), aiming to enhance judicial transparency, fairness, and the consistency of legal applications through structured semantic
Yingtian Mei, Yucong Duan
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
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
ERP evidence for semantic facilitation of tool-grasping by tool-using actions
Research has shown that the human visual system recognizes manipulated objects more efficiently than faces, numbers, or text, largely due to their manipulability.
Yanglan Yu +4 more
doaj +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
This study takes upon a group cognition perspective and investigates the cognition of railway traffic operations, in particular railway traffic and passenger traffic control.
Lo, Julia C.,, Meijer, Sebastiaan,
core +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Semantic priming, schizophrenia and the ketamine model of psychosis
The central aim of the studies presented in my thesis was to investigate the modulation of semantic memory function and its neural correlates in relation to schizophrenia.
Stefanovic, A.
core
The Semantic Battlespace Infosphere: A Knowledge Infrastructure for Improved Coalition Inter-Operability [PDF]
Operational effectiveness in coalition environments is based on the need for inter-operability at a variety of levels. While inter-operability concerns are most easily thought of in terms of technology, this paper emphasizes the importance of consensual ...
Paul R. Smart +3 more
core +1 more source
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
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

