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Tengfan Fu

1 accepted papers

2025

From Demand to Grounded Plan: Task Customization and Planning for Service Robots With Deep Learning and LLMs

RA-L 2025

In the field of task planning for service robots, large language model (LLM)-based approaches have shown increasing potential but still struggle with responding to complex user demands and grounded task planning. In this letter, we propose a user-demand-oriented adaptive grounded task planning syste

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