@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00241867,
 author = {Kyoji, Tanaka and Kenji, Hisazumi and Kyoji, Tanaka and Kenji, Hisazumi},
 book = {Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform},
 month = {Dec},
 note = {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).},
 pages = {45--46},
 publisher = {情報処理学会},
 title = {Automated Scenario Generation for Autonomous Robots using Large Language Models},
 volume = {2024},
 year = {2024}
}