Le, Tien Dat and Le, Minhhuy (2025) Empowering Universal Robot Programming with Fine-Tuned Large Language Models. EAI Endorsed Transactions on AI and Robotics.
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Abstract
LLMs are transforming AI but face challenges in robotics due to domain-specific requirements. This paper explores LLM-generated URScript code for Universal Robots (UR), improving automation accessibility. A fine-tuning dataset of 20,000 synthetic samples, based on 514 validated human-created example
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 20:14 |
| Last Modified: | 10 Apr 2026 18:19 |
| URI: | http://eprints.eai.eu/id/eprint/59834 |
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