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Jul, 2024
移动机器人中的具身化人工智能: 基于大型语言模型的覆盖路径规划
Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models
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Xiangrui Kong, Wenxiao Zhang, Jin Hong, Thomas Braunl
TL;DR
我们提出了一个以大型语言模型为基础的路径规划框架,用于解决高级覆盖路径规划和低级控制问题,并通过自然语言理解和生成能力提升其效率和准确性。
Abstract
In recent years,
large language models
(LLMs) have demonstrated remarkable capabilities in understanding and solving mathematical problems, leading to advancements in various fields. We propose an
llm-embodied path plan
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