Papers
5
Total Citations
44
H-Index
4
About
Silan Li is a leading researcher at the intersection of multi-robot systems, wireless communications, and edge intelligence. Their work addresses fundamental challenges in enabling robust, intelligent coordination among heterogeneous robot teams operating in harsh and unpredictable environments. Li’s major contributions include developing a hybrid framework for edge intelligence in multi-robot networks, which tackles critical communication issues and potential solutions for high-quality collaboration. They have also made significant advances in discrete-time flocking control, rigorously analyzing how random link failures and multi-hop, lossy ad hoc networks impact system stability and fragmentation—a key concern for real-world deployments. With over 44 total citations across their most-cited works, Li’s research is gaining traction for its practical relevance. Notably, their 2022 paper on edge intelligence has already garnered 16 citations, and their 2024 work on flocking control under link failures matches that impact. Li also explores deep learning-aided FBMC systems for machine-type communication, demonstrating a versatile skill set that spans theory, simulation, and experimental validation. Their recent foray into near-field localization using multiple access points promises to further enhance robot autonomy in complex environments.
Research Focus
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