Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming

Autor:	Alt, Benjamin, Keßner, Urs, Taranovic, Aleksandar, Katic, Darko, Hermann, Andreas, Jäkel, Rainer, Neumann, Gerhard
Rok vydání:	2023
Předmět:	Computer Science - Robotics Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Human-Computer Interaction Computer Science - Machine Learning 68T40 I.2.9 I.2.5 I.2.6 I.2.7
Druh dokumentu:	Working Paper
Popis:	Industrial robots are applied in a widening range of industries, but robot programming mostly remains a task limited to programming experts. We propose a natural language-based assistant for programming of advanced, industrial robotic applications and investigate strategies for domain-specific fine-tuning of foundation models with limited data and compute. Comment: 5 pages, 1 figure, presented at the 2024 European Robotics Forum in Rimini, Italy
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2312.13905 Zobrazit plný text záznamu View this record from Arxiv