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
Supporting Social Engagement in Long-Term Care Through Paired Socially Assistive Robot-Virtual Reality Activities for Older Adults with Cognitive Impairment and Apathy. [PDF]
Migovich M +9 more
europepmc +1 more source
Cognitive transparency and trust calibration in explainable AI systems: a psychological model of human-AI decision reliance. [PDF]
Rehman U.
europepmc +1 more source
Repetitive negative thinking as a transdiagnostic bridge between childhood trauma and depression: Integrating emotion regulation flexibility, stress sensitization, and neurocognitive mechanisms. [PDF]
Yang C.
europepmc +1 more source
Reclaiming human clinical reasoning in generative AI-enabled healthcare: a perspective on cognitive agency, skill evolution, and accountability. [PDF]
Xu J, Zhang M, Zheng B, Deng W, Shi R.
europepmc +1 more source
Naturalistic spatial education engages distinct neural processes for mental rotation, cognitive load, and linguistic demands. [PDF]
Gacetta EB +6 more
europepmc +1 more source

