Papers
15
Total Citations
183
H-Index
6
About
Keri Kim is a leading researcher in medical robotics, specializing in continuum and concentric-tube robots for minimally invasive surgery. Her work addresses critical challenges in steerable needle and manipulator design, particularly the instability caused by torsional deformation in precurved tubes. Kim’s landmark 2015 paper, “Anisotropic Patterning to Reduce Instability of Concentric-Tube Robots” (58 citations), introduced grooved tubes with anisotropy to mitigate snapping and expand the robot’s usable workspace—a foundational contribution to the field. She further advanced practical deployment with “FBG-based polymer-molded shape sensor integrated with minimally invasive surgical robots” (16 citations), enabling real-time shape tracking without the stiffness limitations of metal rods. Kim also developed a wide-field-of-view wedge prism endoscope (15 citations) and led preclinical trials for a surgical robot system in endoscopic endonasal transsphenoidal surgery (7 citations). Her recent work on DNN-based force estimation in hyper-redundant manipulators (2024) signals a shift toward intelligent, data-driven control. With over 170 total citations and a portfolio spanning design optimization, sensor integration, and clinical translation, Kim’s research is essential reading for anyone advancing dexterous, safe, and effective surgical robots.
Research Focus
Key Achievements
Top Papers
- 1Anisotropic Patterning to Reduce Instability of Concentric-Tube Robots58 citations · 2015
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- 4Wide FOV Wedge Prism Endoscope15 citations · 2005
- 5DNN-Based Force Estimation in Hyper-Redundant Manipulators8 citations · 2024
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