Feiyu Gao
Papers
1
Total Citations
1
H-Index
1
About
Feiyu Gao is a rising researcher in the field of robotics and autonomous systems, with a primary focus on path planning and control for extraterrestrial exploration. Gao’s work is particularly centered on developing advanced algorithms for lunar surface robots, addressing the critical challenge of enabling robots to safely and reliably follow astronauts in the harsh, low-gravity environment of the Moon. Their most notable contribution, detailed in the 2025 paper "Path Planning for Lunar Surface Person-Following Robot via Flatness-Based Safe-MPC With Virtual Disturbances," introduces a novel model predictive control (MPC) framework that leverages differential flatness to ensure safe, real-time trajectory tracking. By incorporating virtual disturbances, Gao’s approach effectively mitigates the unpredictable terrain and communication delays inherent in lunar missions, offering a robust solution for astronaut-assistive robotics. Though early in their career—with this key paper already garnering 1 citation—Gao’s work is poised to have significant impact as lunar exploration intensifies. Their research directly supports the development of sophisticated robots that reduce astronaut workload, marking a vital step toward sustainable human presence on the Moon.
Research Focus
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Top Papers
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