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Research

Explainable Planning for Hybrid Systems

PhD research develops explainable planning methods for hybrid systems in safety-critical applications including autonomous vehicles, energy grids, and healthcare.

Tuesday, April 14, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline

PhD thesis on Explainable Artificial Intelligence Planning (XAIP) for hybrid systems, addressing the need for interpretable planning decisions in safety-critical domains. The work tackles a major challenge in the planning community: generating understandable explanations for automated planning systems used in autonomous vehicles, energy grids, robotics, and healthcare.

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