About

Aidong Zhang is a robotics researcher whose work spans multi-robot systems, legged locomotion, and intelligent control, with a particular focus on advancing the capabilities of quadruped robots in real-world environments. Zhang's most-cited contribution, "Cooperative Target Enclosing Control of Multiple Mobile Robots Subject to Input Disturbances" (2019, 63 citations), demonstrates expertise in multi-agent coordination and robust control theory. A substantial body of Zhang's research addresses the practical challenges facing quadruped robots, including energy-efficient locomotion over rough terrain, foothold planning, joint torque estimation, and compliant control for gear-driven systems — work that collectively reflects a drive to bridge the gap between laboratory performance and field deployment. Zhang has also pioneered advances in sensing technology, notably developing a highly-time-resolved FMCW LiDAR system for tracking dynamic legged locomotion (2023, 36 citations). Beyond locomotion, Zhang has contributed to socially impactful applications, including a rigid-flexible coupling manipulator designed for COVID-19 swab sampling. With cumulative citations exceeding 200 across diverse topics, Zhang's research offers valuable insights for students and engineers working at the intersection of autonomous robotics, control systems, and applied sensing.

Research Focus

Key Achievements

8
H-Index
15
Papers
234
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative Target Enclosing Control of Multiple Mobile Robots Subject to Input Disturbances
63 citations · 2019
📈 Most Prolific Year: 2019 (6 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: Chinese University of Hong Kong, Shenzhen, Chinese University of Hong Kong, Shenzhen Academy of Robotics, Peng Cheng Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago