In-Context Learning Enables Robot Action Prediction in LLMs

Recently, Large Language Models (LLMs) have achieved remarkable success using in-context learning (ICL) in the language domain. However, leveraging the ICL capabilities within LLMs to directly predict robot actions remains largely unexplored. In this paper, we introduce RoboPrompt, a framework that...

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Bibliographische Detailangaben

Hauptverfasser:	Yin, Yida, Wang, Zekai, Sharma, Yuvan, Niu, Dantong, Darrell, Trevor, Herzig, Roei
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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