Results 91 to 100 of about 7,362,198 (297)
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
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
Systematic Polysemy in Cognitive Approach: Studying the Polysemy of “see” in Persain [PDF]
The present descriptive-analytic research uses the semantic model (Antonano, 1999 and 2002) and the semantic network of perception verbs (Afrashi & Asgari, 1396) to describe and analyze the polysemy of the perception verb “see”.
Mehdi Ghaderi +3 more
doaj +1 more source
In the context of the 2016 U.S. Presidential Election, President Donald Trump’s use of Twitter to connect with followers and supporters created unprecedented access to Trump’s online political campaign.
Sean M. Eddington
semanticscholar +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
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
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
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
Consumers' Perception of Urban Farming—An Exploratory Study
Urban agriculture offers the opportunity to provide fresh, local food to urban communities. However, urban agriculture can only be successfully embedded in urban areas if consumers perceive urban farming positively and accept urban farms in their ...
Carola Grebitus +3 more
doaj +1 more source
Using RDF to Model the Structure and Process of Systems
Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph consisting of a heterogeneous set of entities connected ...
Bollen, Johan +3 more
core +4 more sources
Meinongian semantics for propositional semantic networks [PDF]
This paper surveys several approaches to semantic-network semantics that have not previously been treated in the Al or computational linguistics literature, though there is a large philosophical literature investigating them in some detail. In particular, propositional semantic networks (exemplihed by SNePS) are discussed.
openaire +1 more source
SEMANTIC NETWORK OF THE WORD ASSOCIATION IN THE FIELD OF LAW
Word association can be utilized for identifying semantic network and describing point of view and prior knowledge of someone. This study aims to discuss two focuses, (1) the categorization of response word and (2) language factors that form semantic ...
Arti Prihatini
semanticscholar +1 more source

