Causality-Based Reasoning for Cognitive Factories

作者： Volkan Patoglu , Tansel Uras , Kadir Haspalamutgil , Esra Erdem

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摘要: We propose the use of causality-based formal representation and automated reasoning methods to endow multiple teams robots in a factory, with high-level cognitive capabilities, such as, optimal planning diagnostic reasoning. introduce algorithms for finding decoupled plans diagnosing cause failure/discrepancy (e.g., may get broken or tasks reassigned teams). discuss how these can be embedded an execution monitoring framework, show their applicability on intelligent painting factory scenario.

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Causality-Based Reasoning for Cognitive Factories

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Causality-Based Reasoning for Cognitive Factories

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