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Automated Scenario Generation for Autonomous Robots using Large Language Model

Year: 2025
Type: conference-paper
Abstract: The development of autonomous robots has increasingly emphasized the importance of identifying potential issues early through efficient validation and simulation-based testing. Despite this progress, significant challenges remain in automating test scenario generation and addressing the diversity and complexity of testing environments. This study introduces a method for scenario-based testing using the Hakoniwa platform, which supports IoT and robot software development in a virtual environment, in combination with Large Language Models (LLM) to achieve a more precise drone simulation tailored to user requirements.
Authors: Kyoji Tanaka, Kenji Hisazumi
Language: English
Subfield: Software
Open Access status: hybrid
OpenAlex ID: W4414420601
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Cites: 2
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