Papers
61
Total Citations
1,804
H-Index
24
About
Yohan Noh is a pioneering researcher at the intersection of soft robotics, bio-inspired engineering, and minimally invasive surgical systems. His work primarily focuses on the design, actuation, and sensing of soft robotic manipulators, with particular emphasis on surgical applications and biologically inspired mechanisms. Noh has made landmark contributions to the field through his development of tendon-based and pneumatic actuation strategies for soft manipulators, most notably demonstrated in his highly cited 2016 paper on tendon-based stiffening (207 citations) and his bio-inspired antagonistic actuation work (101 citations). His research draws extensively from cephalopod biology, producing octopus-inspired robots, soft suction-based anchoring modules, and flexible surgical arms capable of total mesorectal excision in cadaveric models. Beyond actuation, Noh has advanced soft robotic sensing through macrobend optical fiber pose-measurement systems (149 citations), multi-axis force/torque sensors, and bio-inspired tactile sleeves for surgical robots. His cumulative citation impact — exceeding 900 across his top works — reflects the broad significance of his contributions. Noh's research is shaping the future of compliant, intelligent robotic systems for both clinical and exploratory environments.
Research Focus
Key Achievements
Top Papers
- 1Tendon-Based Stiffening for a Pneumatically Actuated Soft Manipulator207 citations · 2016
- 2Macrobend optical sensing for pose measurement in soft robot arms149 citations · 2015
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- 5Bio-inspired tactile sensor sleeve for surgical soft manipulators74 citations · 2014
- 6Anchoring like octopus: biologically inspired soft artificial sucker68 citations · 2017
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- 8A three-axial body force sensor for flexible manipulators60 citations · 2014
- 9Bio-Inspired Octopus Robot Based on Novel Soft Fluidic Actuator57 citations · 2018
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