Generating Probabilistic Scenario Programs from Natural Language

arXiv:2405.03709v1 Announce Type: cross
Abstract: For cyber-physical systems (CPS), including robotics and autonomous vehicles, mass deployment has been hindered by fatal errors that occur when operating in rare events. To replicate rare events such as vehicle crashes, many companies have created logging systems and employed crash reconstruction experts to meticulously recreate these valuable events in simulation. However, in these methods, "what if" questions are not easily formulated and answered. We present ScenarioNL, an AI System for creating scenario programs from …

abstract arxiv autonomous autonomous vehicles companies cs.ai cs.lg cs.pl cs.se cyber deployment errors events experts language logging natural natural language recreate replicate robotics systems type vehicles