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
Everything robots need to know about cooking actions: creating actionable knowledge graphs to support robotic meal preparation. [PDF]
Front Robot AIKümpel M +6 more
europepmc +1 more source
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
Association for Artificial Intelligence 2026 +6 more
openalex +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
Integrating knowledge graphs with ancient Chinese medicine classics: challenges and future prospects of multi-agent system convergence. [PDF]
Chin MedXiang S, Lin H, Cai F, Jiang Z.
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 +4 more
wiley +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
Interpretable AI-assisted diagnosis of papillary thyroid cancer cytopathology using graph neural networks and knowledge graphs. [PDF]
Sci RepWu LX +7 more
europepmc +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Midbrain PAG Astrocytes Modulate Mouse Defensive and Panic‐Like Behaviors
Advanced Science, EarlyView.Astrocytes in the midbrain periaqueductal gray (PAG) dynamically encode threat intensity and shape defensive action selection in mice. Real‐time Ca2+ imaging reveals robust astrocytic activation during predator odor and CO2 exposure. Aberrant astrocytic Ca2+ overactivation disrupts goal‐directed escape, biases behavior toward freezing, and induces ...
Ellane Barcelon +10 more
wiley +1 more source