Papers
13
Total Citations
579
H-Index
8
About
Tengfei Liu is a leading researcher in nonlinear control theory and multi-robot systems, with a focus on the fundamental challenges of distributed coordination, safety, and resource-aware control. His most influential work, "Distributed formation control of nonholonomic mobile robots without global position measurements" (342 citations), provides a pioneering solution for enabling teams of robots to maintain formation using only local sensing, a critical capability for real-world deployment. Liu has made major contributions to the nonlinear small-gain approach, developing rigorous frameworks for controlling dynamic networks under communication constraints, as detailed in his monograph "Nonlinear Control of Dynamic Networks" (92 citations). His recent research advances event-triggered and self-triggered control for mobile robot tracking (47 citations) and introduces novel methods for continuous safety control in cluttered environments (13 citations). Liu has also achieved global finite-time output-feedback stabilization for a broad class of nonlinear systems (20 citations), solving a long-standing open problem. With over 550 total citations, his work bridges theoretical rigor and practical implementation, offering students and researchers powerful tools for designing resilient, efficient, and safe autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Nonlinear Control of Dynamic Networks92 citations · 2014
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- 6Continuous Safety Control of Mobile Robots in Cluttered Environments13 citations · 2022
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- 10A control middleware for cloud robotics6 citations · 2016