Qingqi Song
Papers
2
Total Citations
6
H-Index
2
About
Qingqi Song is a researcher focused on advancing robotic on-orbit servicing (OOS) technologies for space infrastructure development. His primary research areas include obstacle avoidance path planning for free-floating space manipulators and autonomous navigation systems for orbital operations. Song's major contributions lie in developing sophisticated path planning algorithms that enable space manipulators to safely navigate and perform critical tasks such as assembly, maintenance, and upgrade of spacecraft in orbit. His work addresses the fundamental challenge of operating robotic arms in the dynamic, microgravity environment of space, where traditional fixed-base assumptions do not apply. Notable achievements include his 2016 paper "Obstacle avoidance path planning of free-floating space manipulator for on-orbit observation," which has garnered 4 citations, and his subsequent 2017 work "Advanced Path Planning System of Free-Floating Space Manipulator for On-Orbit Observation," receiving 2 citations. These publications demonstrate Song's systematic approach to solving complex spatial reasoning problems in zero-gravity conditions. His research is particularly significant as it lays the groundwork for autonomous satellite servicing, debris removal, and the construction of large-scale space structures—technologies essential for humanity's long-term presence in space.
Research Focus
Key Achievements
Top Papers
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