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

Generative AI (Text, Image, Music, Video)Human-LLM CollaborationHuman-Robot Collaboration (HRC)Software Engineers & DevelopersAI/ML Researchers & Engineers

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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https://hci.top/en/papers/hri/140147/2024

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Source
HRI
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Year
2024
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Authors
4 authors
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Subtopics
Generative AI (Text, Image, Music, Video), Human-LLM Collaboration, Human-Robot Collaboration (HRC)
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Software Engineers & Developers, AI/ML Researchers & Engineers
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Abstract only
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