Qijie Lan
Papers
2
Total Citations
62
H-Index
2
About
Qijie Lan is a leading researcher in the field of space robotics, with a primary focus on trajectory planning and advanced control systems for free-floating space robots (FFSRs). His work addresses critical challenges in autonomous space operations, particularly in achieving fixed-time stability and robust performance under uncertainty. Lan’s major contributions include the development of a low-chattering fixed-time nonsingular terminal sliding mode control for dual-arm FFSRs, which ensures precise trajectory tracking even with large initial errors—a breakthrough cited 56 times. He also pioneered a parameter optimization method using a dsRNA splicing evolutionary algorithm for fixed-time obstacle-avoidance trajectory planning, improving joint angular velocity smoothness by 15.61% on average. This work, with 6 citations, highlights his innovative integration of bio-inspired algorithms with control theory. Lan’s research is pivotal for advancing autonomous space missions, offering safer and more efficient manipulation in orbital environments. His achievements underscore his role as a key contributor to the next generation of space robotic systems, making his work essential for students and researchers in robotics, control engineering, and aerospace technology.
Research Focus
Key Achievements
Top Papers
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