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PanelShield: Verifiable Closed-Loop Safe Planning for Robotic Industrial Panel Operation

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Industrial panel operation is knowledge-intensive and safety-critical. Beyond control recognition and action generation, execution must satisfy constraints in operation manuals and safety regulations. While foundation-model-based planners show strong semantic capability, they typically lack computable, localizable, and reproducible mechanisms for violation detection and repair. To address this, we propose PanelShield, a verifiable closed-loop safety planning framework for manual-guided industrial panel operation. The framework generates parameterized action primitive sequences from task-releva

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