Xingling Shao
Papers
7
Total Citations
192
H-Index
6
About
Xingling Shao is a leading researcher in multi-robot coordination and intelligent control systems, with a focus on cooperative surrounding, circumnavigation, and formation control for mobile robots operating under challenging conditions. Their major contributions include developing novel distributed control strategies that enable robots to encircle targets or follow paths with high precision, even in GPS-denied environments or with aperiodic sampling. Shao’s work on elliptical circumnavigation control and cooperative enclosing has been widely recognized, with their most cited paper, "Distributed Cooperative Surrounding Control for Mobile Robots With Uncertainties and Aperiodic Sampling" (2022), accumulating 89 citations. They have also advanced the field through concurrent-learning-based adaptive critic formations under safety constraints and finite-time composite learning for nonholonomic robots. With over 190 total citations across their top papers, Shao’s research is pivotal for applications in intelligent transportation, disaster response, and autonomous surveillance. Their recent work on enhanced state-constrained adaptive fuzzy tracking further demonstrates their versatility in nonlinear control systems, making them a key figure in modern robotics and control theory.
Research Focus
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Top Papers
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