Papers
1
Total Citations
6
H-Index
1
About
Yuqin Yao is a robotics researcher whose work focuses on the foundational challenges of manipulator control, particularly kinematics and path planning. In their most cited work, "Efficient Algorithms for the Kinematics and Path Planning of Manipulator" (2009, 6 citations), Yao addressed two critical problems in computer-controlled robotics: inverse kinematics and trajectory planning for six-degree-of-freedom manipulators. By developing fast and efficient algorithms, Yao contributed to making robotic motion more practical and computationally feasible—an essential step for real-time control in industrial and research settings. While their citation count reflects a niche but important contribution, Yao’s work sits at the intersection of theoretical robotics and applied automation, offering algorithmic solutions that underpin more complex autonomous systems. For students and researchers exploring the fundamentals of robotic manipulation, Yao’s paper serves as a clear, focused entry point into the core computational problems that continue to drive advances in robotics today.
Research Focus
Key Achievements
Top Papers
- 1Efficient Algorithms for the Kinematics and Path Planning of Manipulator6 citations · 2009