Xiaoying Shi
Papers
1
Total Citations
11
H-Index
1
About
Xiaoying Shi is a researcher in robotics and intelligent control systems, with a primary focus on solving complex kinematic challenges in robotic manipulation. Her most notable contribution is a distributed reward algorithm for inverse kinematics of arm robots, published in 2020, which has garnered 11 citations. This work addresses the limitations of traditional analytical and numerical methods that rely heavily on experience and experimentation, particularly for robots with complex structures. By introducing a distributed reward framework, Shi’s approach enables more efficient and adaptive solutions for continuous state and action problems, reducing the time and labor required in real-world robotic applications. Her research bridges the gap between theoretical kinematics and practical deployment, offering a scalable method for multi-jointed robotic arms. Shi’s work is particularly relevant for advancing automation in manufacturing, healthcare, and service robotics, where precision and adaptability are critical. With a growing citation impact, she is establishing herself as a contributor to the field of robot control, and her algorithm provides a foundation for future research in reinforcement learning-based robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Distributed Reward Algorithm for Inverse Kinematics of Arm Robot11 citations · 2020