Weiwei Wu

Papers

1

Total Citations

4

H-Index

1

About

Weiwei Wu is a researcher specializing in robotics, automation, and intelligent control systems, with a particular focus on hydraulic machinery and construction equipment. Their most notable work centers on the application of advanced robotic modeling theory to traditional hydraulic excavators, bridging the gap between conventional heavy machinery and modern autonomous systems. In their 2022 study, Wu developed comprehensive forward and inverse kinematics models for excavator working devices, integrating Model Predictive Control (MPC) frameworks to enable intelligent, automated operation of hydraulic drive structures — a significant step toward fully autonomous construction equipment. This research addresses a critical industrial need, as the automation of excavators has broad implications for construction efficiency, worker safety, and precision earthmoving operations. By applying established robot modeling methodologies to hydraulic systems, Wu's contributions help lay the theoretical and practical groundwork for next-generation smart construction machinery. While still building citation impact with 4 citations to date, the work represents a meaningful contribution to an emerging and rapidly growing field at the intersection of mechanical engineering, control theory, and industrial robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Analysis and Model Predictive Control of Excavator’s Working Device
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago