Qizhen Pan

Papers

Total Citations

H-Index

About

Qizhen Pan is a researcher whose work lies at the intersection of robotics, computer vision, and deformable object manipulation. His key research areas include tracking and modeling deformable linear objects (DLOs), with a particular focus on branched structures such as wire harnesses and cables. Pan’s most notable contribution is his 2021 paper, “Tracking Branched Deformable Linear Objects With Structure Preserved Registration by Branch-wise Probability Modification,” which has garnered 9 citations. In this work, he addresses the challenging problem of tracking DLOs with multiple branches—a task critical for industrial automation and robotic assembly. By introducing a branch-wise probability modification to the structure preserved registration (SPR) method, Pan significantly enhances the algorithm’s ability to maintain topological consistency and accuracy when tracking complex, branching deformable objects. This innovation has direct applications in practical scenarios like wire harness localization, where precise tracking is essential for automated handling and assembly. Pan’s research bridges theoretical advances in registration techniques with real-world robotic challenges, making his work valuable for both academics and practitioners in robotics and manufacturing.