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title
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ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
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site name
author
updated
2026-02-26 02:56:51
raw text
ProgPrompt ProgPrompt : Generating Situated Robot Task Plans using Large Language Models ICRA 2023 Extended version in Autonomous Robots 2023 Ishika Singh 1 , Valts Blukis 2 , Arsalan Mousavian 2 , Ankit Goyal 2 , Danfei Xu 2 , Jonathan Tremblay 2 , Dieter Fox 2 , Jesse Thomason 1 , Animesh Garg 2 1 University of Southern California, 2 NVIDIA arXiv Video Code Poster FAQs Bring coffeepot and cupcake to the coffee table Sort fruits in the plate and bottle in the box Put salmon in the fridge Throw away apple Abstract Task planning can require defining myriad domain knowledge about the world in which a robot needs to act. To ameliorate that effort, large language models (LLMs) can be used to score potential next actions during task planning, and even generate action sequences directly, given an instruction in natural language with no additional domain informa...
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