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Alchemist: LLM-Aided End-User Development of Robot Applications.
- Source :
- ACM/IEEE International Conference on Human-Robot Interaction; Mar2024, p361-370, 10p
- Publication Year :
- 2024
-
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 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- Database :
- Complementary Index
- Journal :
- ACM/IEEE International Conference on Human-Robot Interaction
- Publication Type :
- Conference
- Accession number :
- 179537352
- Full Text :
- https://doi.org/10.1145/3610977.3634969