Yufei Gao

Harbin University of Science and Technology

Papers

Total Citations

H-Index

About

Yufei Gao is a researcher whose work lies at the intersection of space robotics and intelligent path planning, with a particular focus on the complex dynamics of orbital truss systems. His most cited paper, "Spatial cellular robot in orbital truss collision-free path planning" (2020), introduces a novel approach to navigating cellular robots along the triangular prism trusses of space stations. Gao’s key contribution is the development of an optimized ant colony algorithm that integrates a gravitational search algorithm, enabling efficient, collision-free movement in the challenging, hierarchical environment of orbital structures. This work has garnered 9 citations, establishing a foundation for future research in autonomous space assembly and maintenance. By addressing the critical need for reliable robotic mobility in microgravity, Gao’s research directly supports the advancement of in-orbit construction and repair technologies. His innovative fusion of bio-inspired and physics-based algorithms demonstrates a creative approach to solving real-world engineering problems, making his work essential reading for students and researchers in space robotics, autonomous systems, and optimization methods.