Papers
1
Total Citations
6
H-Index
1
About
Xinda Chen is a rising researcher in the fields of space robotics, intelligent path planning, and on-orbit assembly systems. Their most notable contribution is the development of a novel three-dimensional truss path planning method for cellular robots, detailed in their highly cited 2023 paper, "Three-dimensional truss path planning of cellular robots based on improved sparrow algorithm." This work addresses a critical challenge in future space missions: as space trusses grow larger, the movement paths of on-orbit cellular robots become increasingly complex. By applying an enhanced sparrow optimization algorithm, Chen significantly improves the efficiency of navigating these intricate truss environments, enabling robots to find the shortest, most effective routes to mission targets. With 6 citations for this seminal paper, Chen’s research is already gaining traction among peers working on autonomous space construction. Their work represents a vital step toward scalable, autonomous assembly of large-scale structures in orbit, positioning Chen as an emerging expert in intelligent robotic navigation for extreme environments.
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