Weicong Wu

Guangzhou University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Weicong Wu is a leading researcher in advanced robotics control, with a primary focus on heavy-duty robotic systems and adaptive manipulation. His most cited work, "Adaptive End-Effector Buffeting Sliding Mode Control for Heavy-Duty Robots with Long Arms" (2023), addresses critical challenges in industrial robotics—specifically, the low precision, poor flexibility, and operational instability that plague long-arm, heavy-load robots. Dr. Wu’s major contribution lies in developing a novel sliding mode control strategy that mitigates end-effector buffeting, significantly enhancing the dynamic performance and stability of these complex systems. By integrating kinematic and dynamic analyses of long-arm robots, his work provides a robust framework for improving control accuracy under heavy loads. Although his research is still gaining traction, with 2 citations to date, its practical implications for manufacturing, logistics, and construction automation are substantial. Dr. Wu’s innovative approach to adaptive control positions him as an emerging authority in the field, offering solutions that bridge the gap between theoretical control theory and real-world robotic applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive End-Effector Buffeting Sliding Mode Control for Heavy-Duty Robots with Long Arms
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Guangzhou University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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