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20242026
most citedAnticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments

1 citations · 1 across the 5 of their papers we have counts for

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cs.AI2026

Hierarchical Compositionality for An Assistive AI Agent

Tianyi Fu, Mohan Sridharan

AI agents are increasingly being developed to assist humans in various applications, and Large Language Models and other deep network architectures are considered to be state of th…

cs.RO2026

Anticipate, Adapt, Act: A Hybrid Framework for Task Planning

Nabanita Dash, Ayush Kaura, Shivam Singh +4

Anticipating and adapting to failures is a key capability robots need to collaborate effectively with humans in complex domains. This continues to be a challenge despite the impres…