Papers
8
Total Citations
97
H-Index
6
About
Xuehai Gao is a pioneering researcher at the intersection of space robotics and intelligent manipulation, whose work bridges orbital servicing and dexterous cloth handling. His early career focused on enabling autonomous space robots to perform critical on-orbit repair missions, where he developed structured light vision methods for pose determination of large, non-cooperative satellites—work that has accumulated over 40 citations. Notably, his 2010 study on attitude determination during final approach and his 2016 monocular structured light technique addressed the fundamental challenge of measuring relative pose when a single camera cannot capture a full target image. Gao also contributed to safe space operations through obstacles modeling and collision detection for robotic manipulators. More recently, he has advanced robotic manipulation with "Foldsformer" (2022, 25 citations), introducing a space-time attention framework for sequential multi-step cloth folding—a notoriously difficult problem requiring perception and chained action planning. His 2023 work on sampling-based time-optimal path parameterization with jerk constraints further demonstrates his commitment to efficient, safe robotic motion. With publications spanning from the IEEE to Acta Astronautica, Gao’s dual expertise in space servicing and dexterous manipulation positions him as a versatile innovator tackling real-world robotic challenges from orbit to the home.
Research Focus
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