Papers
4
Total Citations
32
H-Index
2
About
Zhaobao Yu is a leading researcher in the field of space robotics, with a primary focus on the control and path planning of free-flying space robots (FFSRs). His work addresses critical challenges in autonomous orbital operations, including collision-free navigation, trajectory tracking under sudden disturbances, and robust force control in variable stiffness environments. Yu’s most notable contribution is the development of an energy-optimal adaptive artificial potential field (AAPF) method for FFSR path planning, which effectively resolves the "goals non-reachable with obstacles nearby" (GNRON) issue—a paper that has garnered 27 citations since 2023. He has also pioneered finite-time adaptive controllers for flexible-joint space robots, ensuring performance constraints and actuator saturation are managed under sudden disturbances, and has advanced integral terminal sliding mode control for 3D space tracking. With recent works in 2025 already accumulating citations, Yu’s research is rapidly gaining recognition for its practical impact on autonomous space missions. His achievements demonstrate a profound ability to merge theoretical rigor with real-world applicability, making him a key figure in the next generation of space robotics innovation.
Research Focus
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