Results 71 to 80 of about 390,079 (317)
Plurisémie, intégration sémantique, sous-détermination: rendre compte des sens multiples en emploi
Études romanes de Brno, 2014 The aim of the text is to present some of the mechanisms which have been identified in linguistic semantics as leading to "multiple senses". After introducing the notion of plurisemy and contrasting it with polysemy, it thus describes "semantic ...
François Nemo
doaj
A Flexible pragmatics-driven language generator for animated agents [PDF]
, 2003 This paper describes the NECA MNLG; a fully implemented Multimodal Natural Language Generation module. The MNLG is deployed as part of the NECA system which generates dialogues between animated agents.
Piwek, Paul
core +7 more sources
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
Advanced Robotics Research, EarlyView.This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Ontology based heterogeneous materials database integration and semantic query
AIP Advances, 2017 Materials digital data, high throughput experiments and high throughput computations are regarded as three key pillars of materials genome initiatives. With the fast growth of materials data, the integration and sharing of data is very urgent, that has ...
Shuai Zhao, Quan Qian
doaj +1 more source
Ontology Based Integration of BIM and GIS for the Representation of Architectural, Structural and Functional Elements of Buildings [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesBuilding Information Modelling (BIM) and Geographic Information System (GIS) integration allows for analysis and visualization of geospatial characteristics and relationships of buildings and their surroundings for in a number of domains such as planning
Ö. Korkmaz, M. Basaraner
doaj +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Cancer Informatics, 2009 Lymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment ...
Taoying Huang +5 more
doaj
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.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
i-Perception, 2020 Attentional processes play a complex and multifaceted role in the integration of input from different sensory modalities. However, whether increased attentional load disrupts the audiovisual (AV) integration of common objects that involve semantic ...
Qingqing Li +7 more
doaj +1 more source
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