Results 81 to 90 of about 49,185 (256)
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Mapping Scientific Outputs of Public Libraries Using Co-word Network Analysis [PDF]
تحقیقات اطلاعرسانی و کتابخانههای عمومی, 2019 Purpose: To draw a scientific map and make a cluster analysis of published articles relating to the field of public libraries using the documents indexed on Web of Science. Methodology: This research is an applied study using co-word analysis method. The
mariam keshvari, Zeinab Hemati
doaj
Comparative Analysis of Social Support in Online Health Communities Using a Word Co-Occurrence Network Analysis Approach. [PDF]
Entropy (Basel), 2022 Liu M, Zou X, Chen J, Ma S.
europepmc +1 more source
Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Research trends related to childhood and adolescent cancer survivors in South Korea using word co-occurrence network analysis. [PDF]
Child Health Nurs Res, 2021 Kang KA, Han SJ, Chun J, Kim HY.
europepmc +1 more source
Discovering Concepts from Word Co-occurrences with a Relational Model
Transactions of the Japanese Society for Artificial Intelligence, 2007 Clustering word co-occurrences has been studied to discover clusters as latent concepts. Previous work has applied the semantic aggregate model (SAM), and reports that discovered clusters seem semantically significant. The SAM assumes a co-occurrence arises from one latent concept. This assumption seems moderately natural.
Kurihara, Kenichi +2 more
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Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
A Graph-Based Keyword Extraction Method for Academic Literature Knowledge Graph Construction
MathematicsIn this paper, we construct an academic literature knowledge graph based on the relationship between documents to facilitate the storage and research of academic literature data. Keywords are an important type of node in the knowledge graph. To solve the
Lin Zhang, Yanan Li, Qinru Li
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Lexical category acquisition is facilitated by uncertainty in distributional co-occurrences.
PLoS ONE, 2018 This paper analyzes distributional properties that facilitate the categorization of words into lexical categories. First, word-context co-occurrence counts were collected using corpora of transcribed English child-directed speech. Then, an unsupervised k-
Giovanni Cassani +3 more
doaj +1 more source
Word Co-occurrence in Child-directed Speech Predicts Children's Free Word Associations
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2020 The free association task has been very influential both in cognitive science and in computational linguistics. However, little research has been done to study how free associations develop in childhood. The current work focuses on the developmental hypothesis according to which free word associations emerge by mirroring the co-occurrence distribution ...
openaire +3 more sources