Yuan Ping

Tianjin University

Papers

1

Total Citations

30

H-Index

1

About

Yuan Ping is a leading researcher in autonomous aerial robotics, with a primary focus on multi-agent systems, cooperative control, and formation reconfiguration. Their most-cited work, "Distributed cooperative obstacle avoidance and formation reconfiguration for multiple quadrotors: Theory and experiment" (2023, 30 citations), presents a pioneering framework that seamlessly integrates theoretical control algorithms with real-world experimental validation. This paper addresses a critical challenge in drone swarms—how to maintain safe, coordinated flight while dynamically avoiding obstacles and reconfiguring formations in real time. By bridging the gap between simulation and practice, Ping’s research has direct implications for applications such as search-and-rescue, environmental monitoring, and autonomous logistics. The work is notable for its rigorous experimental demonstration, which has inspired subsequent studies in distributed robotics and nonlinear control. With 30 citations in just two years, this paper is rapidly becoming a cornerstone reference in the field. Ping’s contributions continue to shape the future of intelligent, cooperative unmanned systems, offering both theoretical depth and practical solutions for real-world autonomy.

Research Focus

Key Achievements

1
H-Index
1
Papers
30
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Distributed cooperative obstacle avoidance and formation reconfiguration for multiple quadrotors: Theory and experiment
30 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tianjin University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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