Xuerui Gao
Papers
1
Total Citations
2
H-Index
1
About
Xuerui Gao is a robotics researcher whose work focuses on the optimal control and manipulation of multi-fingered hand-arm robotic systems. Their most notable contribution, "A Primal-Dual Interior-Point Method for Optimal Grasping Manipulation of Multi-fingered Hand-Arm Robots" (2017), introduces a sophisticated optimization framework for achieving stable and efficient grasps in complex robotic manipulations. By leveraging primal-dual interior-point methods, Gao addresses the nonlinear constraints inherent in dexterous grasping, enabling robots to adaptively apply forces while maintaining equilibrium—a critical advance for applications in manufacturing, prosthetics, and autonomous assembly. Though the paper has garnered 2 citations, its methodological rigor lays groundwork for future studies in robotic dexterity and real-time control. Gao’s work bridges theoretical optimization with practical robotic systems, offering insights into how multi-fingered hands can mimic human-like precision. This research is particularly valuable for students and engineers exploring the intersection of control theory, optimization, and robotics, providing a foundation for developing more adaptive and reliable manipulation technologies.
Research Focus
Key Achievements
Top Papers
- 1