Papers

3

Total Citations

25

H-Index

2

About

Yanhong Luo is a leading researcher in the field of multi-robot systems and intelligent control, with a primary focus on the cooperative control of wheeled mobile robots (WMRs). Her major contributions center on developing advanced algorithms for dynamic target tracking and circumnavigation, integrating adaptive dynamic programming (ADP) and fixed-time control techniques to achieve optimal and robust performance. In her highly cited 2024 work, she proposed an optimal moving-target circumnavigation controller that combines backstepping control with ADP, enabling multiple WMRs to cooperatively encircle a moving target while accounting for both kinematic and dynamic constraints. This work has garnered 13 citations, reflecting its significance in advancing autonomous multi-robot coordination. Additionally, her fixed-time formation control approach addresses the challenge of ensuring convergence within a bounded time, independent of initial conditions, a critical feature for time-sensitive applications. More recently, Luo has explored heuristic sampling-based path planning to navigate narrow passages, demonstrating her versatility in tackling complex robotic motion planning problems. Her research is highly impactful for students and engineers working on autonomous systems, offering practical solutions for surveillance, search-and-rescue, and cooperative transportation.

Research Focus

Key Achievements

2
H-Index
3
Papers
25
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Moving-Target Circumnavigation Control of Multiple Wheeled Mobile Robots Based on Adaptive Dynamic Programming
13 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago