Papers
3
Total Citations
277
H-Index
3
About
Yiming Jen is a leading researcher in robot-assisted minimally invasive surgery (RMIS), with a focus on automating complex surgical tasks to improve precision and patient outcomes. His core research areas include surgical robotics, autonomous suturing, and intelligent tumor localization. Jen’s most impactful contribution is the development of the Suture Needle Angular Positioner (SNAP), a mechanical needle guide that, combined with sequential convex optimization, enables supervised automation of multi-throw multilateral suturing—a notoriously difficult procedure. This work, published in 2016, has garnered 168 citations and is considered foundational in the field. He also advanced tumor localization through automated palpation using Gaussian Process Adaptive Sampling (73 citations), which allows precise estimation of tumor geometry during RMIS, reducing the risk of incomplete resection or excessive tissue removal. Additionally, Jen designed an interchangeable surgical instrument system (36 citations) that streamlines tool changes during multilateral tumor resection, enhancing workflow efficiency. His work bridges mechanical design, control theory, and clinical application, making him a key figure in the push toward semi-autonomous surgical systems.
Research Focus
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