Zongyu Zuo
Papers
12
Total Citations
1,058
H-Index
7
About
Zongyu Zuo is a leading figure in the control of multi-agent and multi-robot systems, with a particular focus on fixed-time and prescribed-time consensus control. His work provides a critical advantage: an explicit, a priori estimate of settling time that does not depend on initial conditions, a feature essential for time-critical applications like search and rescue. With over 300 citations, his 2022 survey on this topic has become a foundational reference. Zuo’s contributions extend to practical, experimental validations, as demonstrated by his highly cited 2018 work on fixed-time formation control of multi-robot systems, which addresses real-world challenges like communication delays. He has also pioneered the use of reinforcement learning for fixed-time trajectory tracking in uncertain robotic manipulators, a paper with 184 citations. Beyond theory, Zuo tackles coordinated path-following for nonholonomic mobile robots and has explored novel prescribed-performance path-following problems. His research, spanning from fundamental nonlinear stabilization to applied robotics, has earned him a reputation for delivering rigorous, implementable solutions that push the boundaries of cooperative control.
Research Focus
Key Achievements
Top Papers
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- 3Fixed-Time Formation Control of Multirobot Systems: Design and Experiments191 citations · 2018
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