2026-03-16T06:16:09Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00241867 2025-01-19T07:31:00Z 6164:6165:9654:11891

Automated Scenario Generation for Autonomous Robots using Large Language Models Automated Scenario Generation for Autonomous Robots using Large Language Models Kyoji, Tanaka Kenji, Hisazumi Kyoji, Tanaka Kenji, Hisazumi In recent autonomous robot development, there is a growing need for early problem detection through cost-effective validation and countermeasures using simulation testing. However, there are still many challenges in the automatic generation of test scenarios and the diversity and complexity of the tests. This paper proposes a more accurate drone simulation that meets user requirements by conducting scenario-based testing using the Hakoniwa platform, which allows for IoT and robot software development in a virtual environment, and Large Language Models (LLM). In recent autonomous robot development, there is a growing need for early problem detection through cost-effective validation and countermeasures using simulation testing. However, there are still many challenges in the automatic generation of test scenarios and the diversity and complexity of the tests. This paper proposes a more accurate drone simulation that meets user requirements by conducting scenario-based testing using the Hakoniwa platform, which allows for IoT and robot software development in a virtual environment, and Large Language Models (LLM). conference paper 情報処理学会 2024-12-27 application/pdf Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform 2024 45 46 https://ipsj.ixsq.nii.ac.jp/record/241867/files/IPSJ-APRIS2024007.pdf eng