Fusen Guo

Swinburne University of Technology

Papers

1

Total Citations

7

H-Index

1

About

Fusen Guo is a leading researcher in advanced robotics, specializing in the trajectory tracking control and stability of composite mobile robots (CMRs) for industrial applications. His work addresses critical system uncertainties that hinder operational precision in complex environments. Guo’s most cited paper, "Hierarchical Tracking Control for a Composite Mobile Robot Considering System Uncertainties" (2024, 7 citations), introduces a novel hierarchical framework that decouples kinematic and dynamic control layers, significantly enhancing robot stability under variable loads and disturbances. This contribution directly improves the reliability of CMRs in integrated loading and operational tasks, a key challenge in modern manufacturing and logistics. By tackling the interplay between system uncertainties and control robustness, Guo’s research bridges theoretical control design with practical industrial deployment. His findings are foundational for developing safer, more efficient autonomous mobile robots, positioning him as an emerging authority in the field. With growing citation impact, Guo’s work continues to influence both academic research and real-world automation solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Hierarchical Tracking Control for a Composite Mobile Robot Considering System Uncertainties
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Swinburne University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago