Jiangfeng Cheng

Papers

Total Citations

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About

Dr. Jiangfeng Cheng is a leading researcher in the field of human-robot collaboration and digital twin technology, with a focus on enhancing the safety, efficiency, and adaptability of intelligent manufacturing systems. His most-cited work, "A consistency method for digital twin model of human-robot collaboration" (2022, 53 citations), introduces a groundbreaking framework for ensuring real-time synchronization between physical and virtual models in collaborative robotic environments. This contribution addresses critical challenges in maintaining model fidelity during dynamic human-robot interactions, enabling more reliable predictive simulations and adaptive control strategies. Dr. Cheng’s research bridges the gap between theoretical modeling and practical deployment, offering scalable solutions for Industry 4.0 applications. His work has been widely recognized for its impact on improving operational transparency and reducing risks in shared workspaces. With a growing citation record, Dr. Cheng continues to shape the future of smart manufacturing, making his research essential reading for engineers and scholars working at the intersection of robotics, digital twins, and human-centered automation.