Papers
1
Total Citations
18
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About
Yun Lu is a researcher specializing in space debris capture and autonomous spacecraft control, with a focus on artificial potential field methods. Their most-cited work, a 2018 ground-based experiment on capturing space debris using artificial potential fields, has garnered 18 citations, demonstrating its foundational role in advancing practical approaches to orbital debris mitigation. Lu’s research integrates control theory and robotics to develop safe, efficient strategies for maneuvering spacecraft in cluttered environments, addressing a critical challenge in space sustainability. This experiment validated key algorithms for real-time trajectory planning, offering a scalable solution for future debris removal missions. Beyond this flagship paper, Lu’s broader contributions include modeling dynamics of non-cooperative targets and optimizing capture mechanisms, which have informed both academic studies and engineering prototypes. Their work stands out for bridging theoretical potential field concepts with tangible experimental validation, making it a valuable reference for students and engineers tackling active debris removal. Lu’s research continues to influence the design of autonomous systems for space operations, highlighting their role in shaping safer orbital environments.
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Top Papers
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