Planning Task Shielding: A New Approach to Detect and Repair Flaws in Planning Tasks

A new paper introduces planning task shielding, a method to detect and repair flaws in planning tasks by making them unsolvable. The research, submitted to arXiv, proposes three approaches to minimize modifications to original actions. The paper is categorized under Computer Science and Artificial Intelligence, and is available at arxiv.org/abs/2604.07042. The work addresses a gap in planning research, which typically focuses on generating plans to achieve goals, but here the goal is to encode properties that should never hold, allowing planners to identify traces leading to flawed states. The objective is to modify the planning task to ensure flawed states are never reached. The paper was submitted on an unspecified date and is part of the arXivLabs framework, which supports community collaborations. The research is relevant to AI planning and safety, offering a novel perspective on task modification.