Zhiqi Tang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Zhiqi Tang is a researcher in multi-agent systems and robotic control, with a focus on safe coordination and formation tracking. Their most notable contribution is the development of constructive barrier feedback for reactive collision avoidance, introduced in their 2023 paper on leader-follower formation control. This work addresses a critical challenge in multi-robot systems: ensuring collision-free navigation among second-order dynamic agents in three-dimensional space using only relative measurements. By integrating barrier functions directly into the control strategy, Dr. Tang provides a mathematically rigorous yet computationally efficient solution for real-time safety guarantees. While their work has garnered early citations, its impact lies in its potential to advance autonomous swarms, drone formations, and industrial robotics. Dr. Tang’s research bridges theoretical control theory and practical implementation, offering a foundation for future studies in distributed multi-agent safety. Their approach stands out for its constructive, rather than reactive, design—a forward-thinking contribution to the growing field of safe autonomy.
Research Focus
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Top Papers
- 1