Results 191 to 200 of about 247,759 (306)
Advanced Materials Technologies, EarlyView.Anodic aluminum oxide (AAO) membranes have traditionally served as structural supports in osmotic energy systems. Here, blind‐hole AAO membranes are demonstrated as active ion‐selective platforms with tunable nanopore structures. By balancing membrane resistance, ion selectivity, and flux, enhanced performance is achieved, delivering a maximum power ...
Khanh Nhien Vu +6 more
wiley +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.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
TRACE-DDI: A Hybrid Framework of Transformer-GAT Context Encoder and Pathway-Anchored Knowledge Graphs for DDI Prediction. [PDF]
Comput Struct Biotechnol JKim J, Seo T, Jo K.
europepmc +1 more source
Advanced Robotics Research, EarlyView.This article presents dielectric elastomer switch (DES) materials, based on composite thin films. Alignment of graphite flakes due to their physical confinement within the thin films lead to much stronger piezoresistive responses than bulk composites, while their durability exceeds that of conventional liquid‐based DES materials.
Lingyu Liu +3 more
wiley +1 more source
Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science.
core
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
From meta-analysis to knowledge graphs: reimagining social isolation research in older adults. [PDF]
Aging Clin Exp ResShou Z, Liang Y, Lin C, He Y.
europepmc +1 more source
Asymmetry in Skipping Enhances Viability Against Control Input Noise
Advanced Robotics Research, EarlyView.Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley +1 more source
KG-HiAttention: synergizing AI-based knowledge graphs and deep learning for explainable software vulnerability analysis. [PDF]
Front Artif IntellPinto-Santos F +4 more
europepmc +1 more source
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Advanced Robotics Research, EarlyView.Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source