Xinfan Lin
Papers
1
Total Citations
6
H-Index
1
About
Xinfan Lin is a leading researcher in the field of aerial robotics, with a primary focus on the energy efficiency and optimal mission planning of multirotor unmanned aerial vehicles (UAVs). His work addresses a critical bottleneck in drone technology: the fundamental trade-off between flight distance, duration, and power consumption. Lin’s major contribution lies in challenging the conventional assumption that the shortest flight path is always the most energy-efficient. His seminal 2024 paper, "Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy?" (6 citations), provides a rigorous analytical framework demonstrating that factors such as aerodynamic drag, motor efficiency, and battery discharge dynamics can make longer, more complex trajectories more energy-efficient than direct routes. This insight has significant implications for extending the operational range of commercial drones in delivery, surveying, and search-and-rescue missions. By integrating principles from optimal control and robotics, Lin is pioneering a new paradigm for energy-aware autonomous navigation, making his work essential reading for students and engineers seeking to push the boundaries of UAV endurance and real-world deployment.
Research Focus
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Top Papers
- 1