Shouwen Yao
Papers
1
Total Citations
2
H-Index
1
About
Shouwen Yao is a leading researcher in autonomous systems and multi-agent coordination, with a primary focus on resilient navigation and target localization in GPS-denied or communication-limited environments. His most-cited work, "Self and Target Locating With Cooperation of Heterogeneous Unmanned Vehicles in the Denial Environment" (2025), addresses a critical challenge in modern unmanned systems: enabling drones and autonomous vehicles to maintain accurate self-positioning and collaboratively identify targets when traditional satellite or network signals are unavailable. This contribution is pivotal for both military reconnaissance and civilian disaster response, where infrastructure is compromised. By developing cooperative algorithms that leverage heterogeneous vehicle capabilities—such as varying sensor suites and mobility—Yao’s research enhances the robustness and autonomy of unmanned fleets. Though his career is early-stage, his work has already garnered attention, with 2 citations to this flagship paper, signaling growing influence. Yao’s achievements include advancing practical solutions for real-world denial environments, positioning him as a rising authority in autonomous navigation and multi-robot systems. His research promises to shape the next generation of resilient, cooperative unmanned vehicles.
Research Focus
Key Achievements
Top Papers
- 1