Results 171 to 180 of about 1,050,353 (272)

Semantic decentralized authentication for IoT-based e-learning using Hedera Hashgraph and Knowledge Graphs. [PDF]

Sci Rep
Luo L, Zhang Y, Tang Q.
europepmc   +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, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

KerSpecGen: Co-piloting formal Kernel specification synthesis with refined knowledge graphs and large language models. [PDF]

PLoS One
Wang Z, Zhu X, Wang H, Yu Y, Lan Y.
europepmc   +1 more source

Piezoresistivity Enhancement by Graphite Flake Alignment in Thin Composite Films for Dielectric Elastomer Switches

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, Thomas Kister, Bart‐Jan Niebuur, Tobias Kraus   +3 more
wiley   +1 more source

MicrobiomeKG: bridging microbiome research and host health through knowledge graphs. [PDF]

Front Syst Biol
Goetz SL, Glen AK, Glusman G.
europepmc   +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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Underwater fish image recognition based on knowledge graphs and semi-supervised learning feature enhancement. [PDF]

Sci Rep
Zhang F, Hu J, Sun 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

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs. [PDF]

Pac Symp Biocomput
Rajagopalan A, Nguyen TA, Guare LA, Rico ALG, Venkatesh R, Caruth L, Genetics Center R, Medicine BioBank P, Verma A, Ritchie MD, Hall MA, Romano JD, Setia-Verma S.   +12 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, Yucheng Luo, Rob Bernardus Nicolaas Scharff   +2 more
wiley   +1 more source