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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 specifies desired program outcomes while LLM produces detailed specifications. 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. We present a detailed examination of our system design and provide an exploratory study involving true end-users to assess capabilities, usability, and limitations of our system. Through the design, development, and evaluation of our system, we derive a set of lessons learned from the use of LLMs in robot programming. We discuss how LLMs may be the next frontier for democratizing end-user development of robot applications.
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Karli et al. (Sun,) studied this question.
www.synapsesocial.com/papers/68e74baeb6db6435876c4c38 — DOI: https://doi.org/10.1145/3610977.3634969
Ulas Berk Karli
Juo-Tung Chen
Victor Nikhil Antony
Johns Hopkins University
Yale University
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