Junyu Yao
Papers
1
Total Citations
6
H-Index
1
About
Dr. Junyu Yao is a leading researcher in space robotics and evolutionary computation, whose work focuses on intelligent trajectory planning and control for complex robotic systems. His most cited paper, "Parameter Optimization of dsRNA Splicing Evolutionary Algorithm Based Fixed-Time Obstacle-Avoidance Trajectory Planning for Space Robot" (2021, 6 citations), introduces a novel approach that combines a double-stranded ribonucleic acid (dsRNA) splicing evolutionary algorithm with fixed-time control for dual-arm free-floating space robots. This work achieves a significant 15.61% average improvement in the smoothness of large joint angular velocity, addressing critical challenges in space operations such as obstacle avoidance and precise maneuvering. Yao’s contributions bridge bio-inspired optimization and robotic motion planning, offering robust solutions for autonomous systems in constrained environments. His research has implications for satellite servicing, debris removal, and future deep-space missions, where reliable, efficient trajectory generation is paramount. By integrating evolutionary algorithms with fixed-time constraints, Yao advances the state of the art in space robotics, demonstrating how biological principles can enhance mechanical performance. His work continues to inspire innovations in adaptive, real-time control for high-stakes applications.
Research Focus
Key Achievements
Top Papers
- 1