Papers
2
Total Citations
29
H-Index
2
About
Dr. Shengying Zhu is a leading researcher in autonomous space systems and intelligent mission planning, with a focus on enabling complex, large-scale operations beyond Earth. Her work bridges artificial intelligence and aerospace engineering, particularly through the development of hierarchical multi-agent frameworks. Her most cited paper, "Hierarchical multi-agent planning for flexible assembly of large-scale lunar facilities" (2022, 20 citations), introduces a novel approach to coordinating multiple robotic agents for constructing infrastructure on the Moon, addressing critical challenges in autonomy and adaptability for future lunar bases. Earlier, her research on "Artificial Neural Network Based Mission Planning Mechanism for Spacecraft" (2018, 9 citations) laid foundational methods for using neural networks to optimize spacecraft trajectories and task scheduling. Dr. Zhu’s contributions are pivotal for advancing in-situ resource utilization and sustainable space exploration, with her work cited by peers in robotics, AI, and aerospace engineering. Her achievements highlight a commitment to scalable, intelligent solutions that push the boundaries of what is possible in extraterrestrial construction and autonomous space mission design.
Research Focus
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Top Papers
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