Papers
5
Total Citations
31
H-Index
3
About
Dr. Yonghui Zhang is a pioneering researcher at the intersection of intelligent manufacturing, underwater robotics, and human-machine systems. His work bridges the gap between digital simulation and physical automation, with a particular focus on cloud-edge collaboration for flexible manufacturing—a field where his 2024 paper has already garnered 15 citations for its novel multi-population co-evolutionary algorithm. Dr. Zhang’s early foundational contributions include virtual assembly simulation and ergonomics analysis for industrial manipulators (2015, 7 citations), where he leveraged DELMIA to optimize work efficiency and safety in virtual workshop environments. More recently, he has expanded into underwater technologies, authoring a comprehensive overview of image-based underwater object detection (2024, 5 citations) and developing a bionic pneumatic-driven actuator for underwater sensing and motion control (2025, 2 citations)—work that draws inspiration from aquatic species for autonomous navigation. His technical versatility extends to mobile robotics, where his RM-Line method (2022, 2 citations) offers a ray-model-based approach for straight-line extraction from grid maps. With a career spanning manufacturing simulation, bionic actuation, and underwater perception, Dr. Zhang’s research consistently demonstrates how computational intelligence can enhance both industrial productivity and autonomous system capabilities.
Research Focus
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Top Papers
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