Yuyang Shen

Papers

Total Citations

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About

Yuyang Shen is a rising researcher in autonomous systems, with a primary focus on aggressive aerial robotics and multi-agent coordination. Their most-cited work, "Aggressive Trajectory Generation for a Swarm of Autonomous Racing Drones" (2023), tackles a critical gap in drone autonomy: while most research centers on single-drone racing, Shen’s team developed a novel time-optimal trajectory generation method for swarms, enabling multiple quadrotors to navigate high-speed, collision-free paths in dynamic environments. This contribution pushes the boundaries of planning, navigation, and control technologies, with implications for search-and-rescue, surveillance, and drone sports. Although early in their career, Shen’s work has already garnered 8 citations, signaling growing influence in the field. By addressing the complexity of swarm coordination under extreme agility constraints, Shen is laying the groundwork for next-generation autonomous systems that must operate safely and efficiently in close quarters. Their research stands out for blending theoretical rigor with real-world applicability, making it a valuable reference for students and engineers interested in the cutting edge of drone autonomy and multi-robot systems.