aceExplainable AI-Supported Cyber-Physical Collaboration for Sustainable Manufacturing in Industry 5.0
In this study, we present an innovative approach to the sustainable manufacturing of industrial parts using an explainable artificial intelligence (XAI)- based cyber-physical collaboration system for Industry 5.0. Current cyber-physical human systems (CPHSs) have been found to integrate AI only to a limited extent and often lack explainability. Consequently, there is a need to improve their scalability and flexibility, in keeping with the tenets of Industry 5.0: resilience, long-term viability, and human-centric…
Explainable AI-Supported Cyber-Physical Collaboration for Sustainable Manufacturing in Industry 5.0: Experimental findings show that the proposed CNN-Transformer architecture achieves 98.5% accuracy and outperforms existing CPHS systems while maintaining low latency.
Evidence
- Peer-reviewedJournal of Visualized Experiments2026-09-01
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Truvace Impact Record TRV-2026-0970, v1: “Explainable AI-Supported Cyber-Physical Collaboration for Sustainable Manufacturing in Industry 5.0.” Truvace, 2026-09-03. /record/TRV-2026-0970 (accessed at citation time). sha256 48005c07cddcd732…
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