Agentic Workflows for Improving Large Language Model Reasoning in Robotic Object-Centered Planning

Large Language Models (LLMs) provide cognitive capabilities that enable robots to interpret and reason about their workspace, especially when paired with semantically rich representations like semantic maps. However, these models are prone to generating inaccurate or invented responses, known as hal...

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發表在:	Robotics
Main Authors:	Jesus Moncada-Ramirez, Jose-Luis Matez-Bandera, Javier Gonzalez-Jimenez, Jose-Raul Ruiz-Sarmiento
格式:	Article
語言:	英语
出版:	MDPI AG 2025-02-01
主題:	large language models robotics agentic workflows reflection semantic maps object-centered planning
在線閱讀:	https://www.mdpi.com/2218-6581/14/3/24