Papers
6
Total Citations
48
H-Index
3
About
Yushan Li is a leading researcher in the security and topology control of multi-robot systems, with a focus on mobile robotic networks (MRNs) and formation control. Their work bridges critical gaps in robotics security and network inference, addressing how robots can be protected from adversarial attacks while maintaining efficient cooperation. Li's most impactful contribution is the "Intelligent Physical Attack Against Mobile Robots With Obstacle-Avoidance" (2022, 24 citations), which proposes a novel method to trap mobile robots by learning their obstacle-avoidance mechanisms from external observation—a groundbreaking approach that highlights vulnerabilities in autonomous navigation. They have also pioneered topology inference techniques, such as the "Local Topology Inference of Mobile Robotic Networks Under Formation Control" (2023, 12 citations), enabling a single robot to deduce interaction structures from limited observations. Li's work on optimal topology recovery (2019) and securing networks against replacement attacks (2025) further demonstrates their commitment to robust, resilient multi-robot systems. With a growing citation record and recent publications in adversarial environments, Li is shaping the future of secure, cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1Intelligent Physical Attack Against Mobile Robots With Obstacle-Avoidance24 citations · 2022
- 2Local Topology Inference of Mobile Robotic Networks Under Formation Control12 citations · 2023
- 3Optimal Topology Recovery Scheme for Multi-robot Formation Control5 citations · 2019
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- 6Securing Mobile Robotic Networks Against Replacement Attack2 citations · 2025