Benshun Zhang
Papers
3
Total Citations
17
H-Index
3
About
Benshun Zhang is a leading researcher in intelligent robotic systems for heavy manufacturing, with a primary focus on welding automation in the shipbuilding industry. His work addresses critical challenges in gantry-mounted robotic arms, particularly the complex issues of joint redundancy and dual-arm coordination that arise when welding long, varied seams on sub-assemblies and unit-assemblies. Zhang’s major contributions include pioneering trajectory planning algorithms that integrate gantry movement with welding operations, and developing a novel composite adaptive fuzzy compensation controller for high-precision trajectory tracking under uncertain dynamic conditions. He has also advanced the field by proposing a multi-objective optimization method for inverse kinematic solutions in Cartesian space, which accounts for robot structure and real-world working conditions—a significant improvement over traditional approaches. With his most-cited paper garnering 8 citations and his work consistently published in 2022, Zhang is establishing a strong foundation for practical, high-accuracy automation in large-scale manufacturing environments. His research is essential reading for engineers and roboticists seeking to deploy intelligent welding systems in complex, unstructured industrial settings.
Research Focus
Key Achievements
Top Papers
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