Papers
15
Total Citations
259
H-Index
9
About
Cailian Chen is a leading researcher in the fields of multi-robot formation control, teleoperating cyber-physical systems (TCPS), and robotic security. Her work bridges the gap between theoretical control algorithms and practical, safety-critical applications. Chen’s major contributions include pioneering formation control using only bearing measurements, enabling leader-follower and target-entrapment strategies without requiring distance data—a breakthrough for resource-constrained robots. She has also advanced the understanding of TCPS by addressing challenges like time delay and actuator saturation, proposing both centralized and decentralized controllers to ensure consensus among remote agents. Her research on intelligent physical attacks against mobile robots, which learns obstacle-avoidance mechanisms to trap targets, has garnered significant attention (24 citations) and highlights her focus on security vulnerabilities in autonomous systems. With over 240 total citations across her top ten papers, Chen’s impact is evident in her highly cited works on formation control (50 citations) and target entrapment (46 citations). Notably, her recent work on digital-twin-enabled aircraft assembly and online control barrier functions for manipulators demonstrates her commitment to real-world, safety-critical applications in manufacturing and robotics.
Research Focus
Key Achievements
Top Papers
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- 4Intelligent Physical Attack Against Mobile Robots With Obstacle-Avoidance24 citations · 2022
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- 8Bilateral teleoperation of multiple agents with formation control10 citations · 2014
- 9Data-Driven Edge Offloading for Wireless Control Systems9 citations · 2023
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