Qiang Zhao
Papers
3
Total Citations
23
H-Index
1
About
Dr. Qiang Zhao is a pioneering researcher in robotics and intelligent manufacturing, with a core focus on path planning, human-robot collaboration, and multi-objective optimization under uncertainty. His early seminal work, "Collision-Free Path Planning for Mobile Robots Using Chaotic Particle Swarm Optimization" (2005, 21 citations), introduced a novel algorithm that improved navigation efficiency in complex environments, laying a foundation for autonomous mobile robotics. More recently, Dr. Zhao has advanced the field of disassembly sequence planning through his 2025 papers, which integrate interval type-2 fuzzy modeling and bi-population evolutionary algorithms to address real-world challenges in human-robot collaborative systems. His research on heterogeneous interactive disassembly line balancing with partial destructive modes further demonstrates his ability to handle complex, multi-objective problems in fuzzy environments. With a growing citation impact, Dr. Zhao’s work is highly relevant to sustainable manufacturing and Industry 5.0, where human-robot synergy and adaptive optimization are critical. His contributions are particularly notable for bridging theoretical optimization techniques with practical applications in robotics and production systems, making him a key figure in advancing intelligent automation.
Research Focus
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Top Papers
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