Alchemist: LLM-Aided End-User Development of Robot Applications

Ulas Berk Karli, Juo-Tung Chen, Victor Nikhil Antony, Chien-Ming Huang
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Abstract

Large Language Models (LLMs) have the potential to catalyze a paradigm shift in end-user robot programming—moving from the conventional process of user specifying programming logic to an iterative, collaborative process in which the user speci � es desired program outcomes while LLM produces detailed speci � cations. We introduce a novel integrated development system, Alchemist , that leverages LLMs to empower end-users in creating, testing, and running robot programs using natural language inputs, aiming to reduce the required knowledge for developing robot applications.
炼金术师LLM 辅助终端用户开发机器人应用
大语言模型(LLM)有可能推动终端用户机器人编程范式的转变--从用户指定编程逻辑的传统过程转变为一个迭代的协作过程,在这个过程中,用户指定所需的程序结果,而LLM则生成详细的说明。我们介绍了一种新颖的集成开发系统Alchemist,它利用LLM使最终用户能够使用自然语言输入创建、测试和运行机器人程序,旨在减少开发机器人应用所需的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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