Papers
2
Total Citations
12
H-Index
2
About
Dr. Jun Sun is a pioneering researcher in space robotics and autonomous manipulation, with a focus on the challenging domain of capturing non-cooperative, tumbling objects in orbit. His work centers on developing intelligent trajectory planning and motion prediction algorithms that enable robotic systems to perform soft-capture maneuvers with high precision and safety. Dr. Sun’s major contributions include the introduction of a directly skill-transferred Dynamic Movement Primitive (DMP) framework, which allows robots to adapt human-demonstrated skills for complex space operations—a concept detailed in his 2022 paper that has garnered 7 citations. He has also advanced the use of sparse Gaussian processes for multi-step motion prediction of tumbling targets, achieving robust performance under uncertainty, as reflected in his 5-cited 2022 publication. By bridging machine learning and classical control, Dr. Sun’s research not only enhances the autonomy of space robots but also reduces the risk of collision during debris removal or satellite servicing missions. His work is increasingly recognized as foundational for future on-orbit servicing and active debris removal, positioning him as a rising authority in the intersection of robotics, AI, and space engineering.
Research Focus
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Top Papers
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