Papers
32
Total Citations
661
H-Index
16
About
Xinping Guan is a prominent researcher whose work sits at the intersection of robotics, control systems, and networked autonomous systems. His scholarship focuses primarily on teleoperation control, multi-robot formation control, and the security of cyber-physical systems — areas of growing importance as autonomous technologies become increasingly embedded in real-world applications. Among his most significant contributions is his sustained investigation into bilateral teleoperation under challenging communication conditions. His work on neural network-based adaptive position tracking (68 citations) and exact stability conditions for time-delayed teleoperation channels (42 citations) has advanced foundational understanding of how robotic systems can remain stable and responsive despite unreliable networks. He further extended these insights to formation control of cooperative teleoperators under intermittent communications (64 citations), directly addressing the practical realities of damaged or electromagnetically disrupted links. Guan has also made notable strides in bearing-only sensing for multi-robot coordination, with contributions covering both leader-follower mobile robot formations (50 citations) and target-entrapping behaviors using single robots (46 citations). More recently, his work on intelligent physical attacks against mobile robots (24 citations) signals a forward-looking engagement with robotic security. Collectively, his research, spanning over 400 cumulative citations across these key works, has meaningfully shaped how the field approaches robust, real-world autonomous control.
Research Focus
Key Achievements
Top Papers
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- 7Autonomous Underwater Vehicles34 citations · 2021
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- 10Intelligent Physical Attack Against Mobile Robots With Obstacle-Avoidance24 citations · 2022