Lingxuan Kong
Papers
2
Total Citations
8
H-Index
2
About
Lingxuan Kong is a researcher in multi-robot systems, focusing on distributed coordination, coverage control, and autonomous aerial vehicles. Their work addresses fundamental challenges in deploying robot swarms for environmental monitoring and surveillance. Kong's most cited paper, "Range-limited, Distributed Algorithms on Higher-Order Voronoi Partitions in Multi-Robot Systems" (2019, 5 citations), pioneers methods for robots with limited sensing and communication ranges to compute complex spatial partitions—a critical step toward scalable, real-world deployments. Building on this, their 2021 study "Distributed Event- and Self-Triggered Coverage Control with Speed Constrained Unicycle Robots" (3 citations) introduces energy-efficient control strategies for fixed-wing UAVs, which must maintain forward motion. By developing event-triggered algorithms that reduce communication overhead while ensuring optimal area coverage, Kong bridges theoretical Voronoi-based methods with the practical constraints of aerial robotics. Their work is notable for tackling the intersection of range limitations, speed constraints, and distributed decision-making, offering foundational solutions for autonomous fleets operating in GPS-denied or communication-restricted environments.
Research Focus
Key Achievements
Top Papers
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- 2