Papers
1
Total Citations
5
H-Index
1
About
Bin Su is an emerging researcher specializing in autonomous construction machinery, with a particular focus on unmanned excavator control systems and hydraulic engineering. His work addresses one of the most technically demanding challenges in construction automation: achieving precise motion control in heavy equipment operating through complex hydraulic systems and triangular drive mechanisms. Su's most notable contribution to date centers on the development of Model Predictive Control (MPC) methodologies for boom descending operations in unmanned excavators, incorporating innovative regenerative valve technology. This research tackles the inherent difficulties posed by nonlinear hydraulic dynamics, proposing sophisticated control architectures that enhance both precision and energy efficiency in autonomous excavation tasks. By integrating MPC frameworks with regenerative hydraulic circuits, Su's approach represents a meaningful advancement in bridging theoretical control engineering with real-world construction robotics applications. Although early in his citation trajectory — with his leading work accumulating 5 citations since 2024 — Su's research addresses a rapidly growing field as the construction industry increasingly pursues automation and intelligent machinery. His contributions position him as a promising voice in the intersection of hydraulic control systems, autonomous robotics, and intelligent construction equipment, areas expected to see significant growth in both academic and industrial investment in coming years.
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Top Papers
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