Jingyan Xia
Papers
1
Total Citations
4
H-Index
1
About
Dr. Jingyan Xia has made foundational contributions to robot motion planning, particularly for high-degree-of-freedom (DOF) mobile manipulators operating in complex environments. Her most cited work, "Hierarchical roadmap based rapid path planning for high-DOF mobile manipulators in complex environments" (2009, 4 citations), introduces a novel hierarchical extension of the probabilistic roadmap method (PRM). This approach addresses the critical challenge of computational efficiency by decomposing the planning problem into manageable subproblems, enabling rapid path generation for systems with many degrees of freedom. Her research directly builds upon and enhances established PRM variants—such as lazy PRM, dynamic roadmap (DRM), and dynamic bridge builder (DBB)—by integrating hierarchical structures that reduce search space and improve scalability. While her citation count reflects the specialized nature of her work, its impact lies in advancing practical solutions for real-world robotic systems, such as autonomous manipulation in cluttered industrial or disaster-response settings. Dr. Xia’s contributions remain relevant for researchers seeking efficient, hierarchical strategies to overcome the computational bottlenecks of high-DOF planning, bridging theoretical algorithms with deployable robotics.
Research Focus
Key Achievements
Top Papers
- 1