Papers
4
Total Citations
39
H-Index
3
About
Xiaodong Fu is a researcher whose work spans advanced robotics control and probabilistic knowledge systems, with a primary focus on the dynamics and control of flexible space robotic systems. Fu's most significant contributions lie in developing sophisticated control strategies for space robots afflicted by multi-source flexibility — specifically systems where the base, links, and joints all exhibit complex vibrational behavior during critical operations such as satellite capture. His landmark work on repetitive learning sliding mode stabilization control addresses one of the most challenging problems in space robotics: managing simultaneous vibrations and disorderly rotations caused by impact torques during satellite capture maneuvers. Building on this, Fu advanced integrated control frameworks combining input restriction, output feedback, and repetitive learning to simultaneously tackle dynamic modeling complexity, motion accuracy limitations, and flexible vibration suppression. His development of fixed-time sliding mode control further demonstrates a commitment to robust, time-guaranteed performance in fully flexible robotic systems. With citations reaching 16 on his most recognized work, Fu's research has garnered meaningful attention within the space robotics community. His earlier work on qualitative probabilistic network-based fusion of time-series uncertain knowledge also reveals a broader intellectual curiosity in uncertainty modeling and intelligent systems reasoning.
Research Focus
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