Lijing Dong
Papers
3
Total Citations
34
H-Index
3
About
Lijing Dong is a rising leader in multi-robot systems and swarm intelligence, with a focused expertise in distributed coordination, flocking control, and target tracking under complex, real-world constraints. Her work uniquely bridges theoretical control theory and practical robotic deployment, addressing critical challenges like non-cooperative target tracking and cross-domain collaboration. Dong’s most cited paper (25 citations, 2024) introduces an optimization-based flocking controller and MPC-based gait synchronization for multiple quadruped robots, enabling coordinated patrol tasks with unprecedented stability. She further advanced the field with a fully distributed fixed-time control framework for swarm robots tracking non-cooperative targets (2023), and an adaptive sliding mode controller that ensures robust performance under continuously time-varying communication topologies (2020). Her contributions are particularly notable for tackling the dual challenges of external disturbances and dynamic network structures, which are pervasive in real-world multi-robot operations. With a growing citation impact and a clear trajectory toward scalable, resilient swarm systems, Dong is shaping the future of autonomous multi-agent coordination in defense, search-and-rescue, and industrial inspection.
Research Focus
Key Achievements
Top Papers
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