Papers

1

Total Citations

21

H-Index

1

About

Luyan Xu is a researcher in robotics and control systems, specializing in multi-agent coordination, formation tracking, and networked robotic systems. Their work addresses critical challenges in autonomous multi-robot teams, particularly ensuring connectivity preservation and collision avoidance—essential for real-world applications like search-and-rescue, environmental monitoring, and warehouse automation. Xu’s most-cited paper, "Output-feedback formation tracking control of networked nonholonomic multi-robots with connectivity preservation and collision avoidance" (2020), has garnered 21 citations, reflecting its significance in advancing decentralized control strategies. This study introduces innovative output-feedback methods that allow robots to maintain formation while avoiding obstacles and preserving communication links, even with limited sensor data. By tackling the complexities of nonholonomic constraints (e.g., vehicles that cannot move sideways), Xu’s work bridges theoretical control theory and practical robotics, offering scalable solutions for dynamic environments. Their contributions are particularly impactful for researchers and engineers developing resilient, autonomous systems that operate safely in crowded or unstructured settings. Xu’s research continues to influence the design of intelligent, cooperative robots, making them a notable figure in the field of networked control and multi-agent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Output-feedback formation tracking control of networked nonholonomic multi-robots with connectivity preservation and collision avoidance
21 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago