Results 71 to 80 of about 3,688,416 (292)
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
As early as 1949, Weaver defined communication in a very broad sense to include all procedures by which one mind or technical system can influence another, thus establishing the idea of semantic communication.
Edgar Beck +7 more
doaj +1 more source
A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data [PDF]
Sensing devices are increasingly being deployed to monitor the physical world around us. One class of application for which sensor data is pertinent is environmental decision support systems, e.g. flood emergency response.
De Roure, David +55 more
core +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Folksonomies, the semantic web, and movie recommendation [PDF]
While the Semantic Web has evolved to support the meaningful exchange ofheterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily ...
C. CATTUTO +13 more
core
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
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
Effect of disorientation on visual analysis, familiarity decision and semantic decision on faces
The disproportionate effect of vertical inversion on the processing of faces has often been interpreted as indicating differences in perceptive strategies between upright and inverted faces. If this is true, then the mathematical relation between the performance and the angular deviation would not be a linear function.
Bruyer, Raymond +2 more
openaire +3 more sources
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
Service choreography in semantic service-oriented architecture
Basic concepts and architecture's components which are using in decision of service's choreography problem in the semantic service-oriented architecture are introduse in the article.
D. Y. Kashalkin, V. A. Kurchidis
doaj
Semantic radicals’ semantic attachment to their composed phonograms
In Chinese character processing studies, it is widely accepted that semantic radicals, whether character or non-character ones, can undergo semantic activation.
Meng Jiang, Qi Luo, Xia Wang, Daiyue Qu
doaj +1 more source

