Qinyu Xie
Papers
1
Total Citations
11
H-Index
1
About
Qinyu Xie is a robotics researcher whose work focuses on advancing kinematic control strategies for redundant robot manipulators. Their key research areas include robot kinematics, motion planning, and optimization-based control schemes. Xie’s major contribution is the development of the feedback-added pseudoinverse-type balanced minimization (FPBM) scheme, which integrates minimum acceleration norm and weighted minimum velocity norm solutions to enhance the precision and stability of robotic motion. This work, published in 2019, has garnered 11 citations, reflecting its growing influence in the field of robotic control. By addressing the challenges of redundancy resolution in real-time applications, Xie’s research offers practical improvements for industrial and service robots, enabling smoother and more efficient task execution. Their work stands out for its innovative combination of feedback mechanisms with pseudoinverse-based methods, bridging theoretical optimization with real-world robotic performance. For students and researchers in robotics, Xie’s contributions provide a valuable framework for designing more responsive and reliable manipulator systems, underscoring their role in advancing the state of the art in kinematic control.
Research Focus
Key Achievements
Top Papers
- 1