Yisheng Zhong

Tsinghua University

Papers

7

Total Citations

262

H-Index

4

About

Yisheng Zhong is a researcher whose work spans robotics, control systems, autonomous navigation, and multi-robot coordination. He is perhaps best known for his pioneering contributions to aerial robotics, particularly his highly cited 2015 paper on quaternion-based robust attitude control for quadrotors, which has garnered 179 citations and introduced a powerful nonlinear control framework capable of handling parameter uncertainties, external disturbances, and complex nonlinearities. This work, alongside his earlier research on robust optimal attitude control for hexarotor vehicles (55 citations), established him as a significant voice in unmanned aerial vehicle control theory. Beyond aerial systems, Zhong has made meaningful contributions to robot perception and localization, developing a monocular visual SLAM system enhanced with wheel odometry for indoor environments. His more recent work addresses the challenging problem of multi-robot task assignment through a distributed auction algorithm for coalition-based coordination, reflecting a growing interest in collaborative robotic systems. He has also explored humanoid robot locomotion and dynamic SLAM in real-world environments. His interdisciplinary reach even extends to flexible sensor technology involving high-entropy alloy nanofibers. Collectively, Zhong's body of work reflects a rigorous and evolving research trajectory that continues to influence both theoretical control design and practical autonomous robotics.

Research Focus

Key Achievements

4
H-Index
7
Papers
262
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Quaternion-Based Robust Attitude Control for Uncertain Robotic Quadrotors
179 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Tsinghua University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago