Papers
2
Total Citations
4
H-Index
1
About
Jingyang Yuan is a robotics researcher whose work centers on the dynamics and control of space robots and autonomous mobile robot navigation. In a foundational 2006 study, Yuan analyzed the complex dynamics of multi-arm free-flying space robots subjected to external forces, deriving the governing equations using the Newton-Euler approach. This work provided critical insights into how such systems can maintain coordinated control and stability—a key challenge for in-orbit servicing and assembly tasks. More recently, Yuan has advanced mobile robot path planning by proposing an improved artificial potential field method that overcomes two classic limitations: the unreachable target problem and local minima entrapment. By introducing distance regulation, repulsive force optimization, and virtual target settings, this 2025 contribution offers a more robust and practical solution for real-world autonomous navigation. While early citation counts are modest, Yuan’s contributions address fundamental problems in space and ground robotics, demonstrating a sustained focus on making robotic systems more capable and reliable in dynamic, force-affected environments.
Research Focus
Key Achievements
Top Papers
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