A new study on arXiv addresses the lack of transparency in automated planning for safety-critical systems. The research targets complex domains like smart grids and self-driving cars where opaque decision-making risks failure. It proposes methods to generate human-readable explanations for hybrid system behaviors. Practitioners can now better audit autonomous logic in high-stakes industrial environments.