Shushuai Li
Papers
5
Total Citations
50
H-Index
3
About
Shushuai Li is a leading researcher in the field of aerial robotics, specializing in the critical challenge of relative localization for lightweight drone swarms. His work addresses the fundamental problem of enabling multiple tiny flying robots to determine each other’s positions in GPS-denied environments, a capability essential for cooperative tasks and collision avoidance. Li’s major contributions include pioneering self-supervised monocular frameworks that leverage efficient deep neural networks to achieve autonomous relative localization without ground-truth data, a breakthrough that has garnered over 30 citations. He has also developed innovative onboard ranging-based methods that ensure real-time positioning and stability for lightweight aerial swarms, with his 2020 paper on this topic receiving 11 citations. Further demonstrating his versatility, Li has advanced state estimation by introducing unsupervised tuning strategies for filter parameters, eliminating the need for ground-truth data in aerial robot control. His notable achievements include the first demonstration of synchronized movement and three-dimensional relative localization using wireless ranging, published in 2022. With a research portfolio that consistently pushes the boundaries of autonomous multi-robot systems, Li’s work is foundational for the next generation of agile, cooperative aerial swarms.
Research Focus
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Top Papers
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