Papers
1
Total Citations
12
H-Index
1
About
Xiaodong Song is a leading researcher in spacecraft propulsion and space robotics, with a focus on the integrated design and optimization of electric propulsion systems for geostationary satellites. His most-cited work, "Electric thruster configuration design optimization for geostationary satellites with robotic manipulators" (2022), has garnered 12 citations, reflecting its impact on advancing satellite maneuverability and efficiency. Song’s major contributions lie in developing novel optimization frameworks that harmonize electric thruster placement with robotic arm kinematics, enabling more agile and fuel-efficient satellite operations for orbital maintenance and debris mitigation. His research bridges the gap between propulsion engineering and autonomous space systems, offering practical solutions for next-generation geostationary platforms. Song’s work is notable for its interdisciplinary approach, combining computational design, thruster dynamics, and robotic control to address real-world challenges in satellite longevity and mission flexibility. With a growing citation footprint, his studies are increasingly referenced in aerospace engineering circles, particularly for their potential to reduce launch costs and extend satellite service life. Song continues to shape the field through innovative modeling and simulation techniques, making him a key figure in the evolution of intelligent, robotic-assisted spacecraft.
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Top Papers
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