Results 191 to 200 of about 452,508 (327)
Electrolyte‐jet (EJ) 3D printing turns copper ions into precisely arranged copper microspheres, which combine with flexible polymers and carbon nanomaterials to create durable, high‐sensitivity sensors. These sensors accurately monitor human motion and physiological signals. Real‐time robotic hand control via gesture mirroring demonstrates an intuitive
Wending Gu +2 more
wiley +1 more source
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models [PDF]
Mengzhao Wang +5 more
openalex +1 more source
Herein, the maximum violation of the three‐setting Clauser–Horne–Shimony–Holt (CHSH) inequality using nonmaximally entangled photons with orbital angular momentum is demonstrated. By mapping the optimization problem to maximizing a triangle's perimeter inscribed in an ellipse, the experiment validates the geometric approach and highlights the ...
Dongkai Zhang +2 more
wiley +1 more source
This review highlights recent advances in accelerating luminescence in nanostructures through cooperative emission, resonator coupling, and nonlocal light–matter interactions. By unifying concepts such as excitonic superradiance, superfluorescence, and the plasmonic Purcell effect, it reveals physical limits of ultrafast emission and their potential ...
Masaaki Ashida +3 more
wiley +1 more source
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
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
Cequel: Cost-Effective Querying of Large Language Models for Text Clustering [PDF]
Hongtao Wang +3 more
openalex +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
Query translation of an object-oriented into a relational query language [PDF]
Keim, Daniel A. +2 more
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