Kefan Wu
Papers
6
Total Citations
189
H-Index
5
About
Kefan Wu is an emerging researcher specializing in multi-agent systems, swarm robotics, and cooperative control, with a particular focus on bearing-only formation control for autonomous vehicles and robotic networks. His work addresses some of the most challenging problems in distributed coordination, including fault tolerance, collision avoidance, and finite-time stability — capabilities critical for deploying real-world autonomous systems. Wu's most influential contributions center on bearing-only formation tracking, where robots coordinate using only relative angular measurements rather than precise position data, dramatically reducing sensing requirements. His 2023 paper on fault-tolerant formation control for multi-vehicle networks has garnered 69 citations, while his 2021 work on collision-free formation tracking of heterogeneous mobile robots has accumulated 61 citations — remarkable figures reflecting strong community interest. His research consistently pushes beyond asymptotic stability guarantees, achieving finite-time convergence even under actuator faults, time delays, and external disturbances. Extending his framework to UAV swarms and heterogeneous nonlinear systems, Wu has demonstrated versatility across platforms and problem settings. His SDP-based formation-containment work further highlights his command of optimization-driven control design. Altogether, Wu's research is shaping robust, scalable coordination strategies for next-generation autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
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