Results 141 to 150 of about 69,920 (312)
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
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
A Fuzzy linguistic multi-agent model based on Semantic Web technologies [PDF]
The Internet harbours a vast amount of information that does not cease to grow exponentially. To avoid arriving to a situation of collapse, the actual model of Web needs to incorporate tools capable to handle and manage efficiently this huge quantity of ...
Herrera-Viedma, Enrique +2 more
core
How Conceptual Are Semantic Maps?
The question addressed in this paper is whether (and to what extent) a semantic map aimed at representing the multifunctionality of a given construction (or set of constructions) in discourse can be thought of as endowed with conceptual reality. To be considered as a mental representa-tion that is essentially similar in all human brains, such a map ...
openaire +5 more sources
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
Towards Ontology Mapping: DL View or Graph View? [PDF]
Ontology is important in sharing and reusing knowledge. It also plays a crucial role in the development of Semantic Web. The paper discusses the DL(Description Logic) and graph view on ontology. Different perspectives have different models and approaches
Huang, Yongjian, Shadbolt, Nigel
core
Semantic Subtyping for Maps in Erlang
In this paper we will construct a set-theoretic model of types featuring type variables, base types, set-theoretic types and map types. Syntax of map types spans all the map types available in Erlang. The model of types is used to define a semantic subtyping relation based on set containment. The novelty of this work is the definition of subtyping over
Erdem Yildirim +3 more
openaire +2 more sources
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
VOSviewer semantic map of publications in Biology [PDF]
VOSviewer semantic map of publications in Biology ...
Brasil, A
core +1 more source
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source

