SCSL enables composing tests from elementary scenarios with online execution and dynamic reconfiguration to handle nondeterminism and changing configurations in distributed robot systems.
Defining and substantiating the terms scene, situation, and scenario for automated driving,
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A DSL combined with LLMs generates consistent, low-latency triggers for selective multimodal sensor data collection, outperforming direct code generation in consistency and speed with comparable detection performance.
citing papers explorer
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Scenario-based System Testing for Distributed Robotics Applications
SCSL enables composing tests from elementary scenarios with online execution and dynamic reconfiguration to handle nondeterminism and changing configurations in distributed robot systems.
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A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection
A DSL combined with LLMs generates consistent, low-latency triggers for selective multimodal sensor data collection, outperforming direct code generation in consistency and speed with comparable detection performance.