Papers
1
Total Citations
17
H-Index
1
About
Lan Ma is a leading researcher in the field of unmanned aerial vehicle (UAV) coordination and multi-agent systems. Her work focuses on developing hierarchical simulation platforms that enable efficient, scalable coordination among multiple UAVs, addressing critical challenges in autonomous flight, collision avoidance, and mission planning. Her most-cited paper, "Implementation of UAV Coordination Based on a Hierarchical Multi-UAV Simulation Platform" (2021), has garnered 17 citations, reflecting its foundational role in advancing practical UAV swarm technologies. This research provides a robust framework for testing and validating coordination algorithms, bridging the gap between theoretical models and real-world deployment. Ma’s contributions are pivotal for applications in surveillance, disaster response, and environmental monitoring, where reliable multi-UAV cooperation is essential. Her work has been recognized for its clarity and applicability, making her a key figure in the evolution of autonomous aerial systems. Through her innovative simulation platforms, Lan Ma continues to shape the future of intelligent UAV operations, inspiring both academic and industrial advancements in autonomous robotics.
Research Focus
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Top Papers
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