Papers
6
Total Citations
123
H-Index
4
About
Xiao-Wen Zhao is a leading researcher in robotics and control systems, whose work bridges theoretical rigor with practical innovation. His primary research areas include nonlinear control, multi-agent systems, and tactile sensing for robotic applications. Zhao’s most impactful contribution is a novel sliding surface design for predefined-time stabilization of Euler–Lagrange systems (2021, 71 citations), offering a powerful framework for ensuring robots converge to desired states within a guaranteed time—critical for safety-critical operations. He also pioneered the concept of multi-flocking for networked non-holonomic mobile robots (2016, 23 citations), enabling distinct subgroups of robots to maintain coordinated motion via proximity graphs, a breakthrough for multi-task swarm missions. In coordinated tracking for networked robotic systems (2017, 12 citations), Zhao developed model-free controller–estimator algorithms that eliminate the need for system dynamics knowledge, enhancing adaptability. His earlier work on flexible multi-functional tactile sensors for robot skin (2011, 11 citations) demonstrates his commitment to real-world hardware, creating sensor arrays that give robots a sense of touch. With over 120 total citations, Zhao’s research is essential reading for anyone interested in advanced robot control, swarm coordination, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 6Flexible tactile sensor system for robot skin based on LabVIEW3 citations · 2012