Seungwoo Noh

Seoul National University, Samsung (South Korea)

Papers

Total Citations

H-Index

About

Seungwoo Noh is a robotics researcher whose work bridges surgical precision and autonomous perception. His primary research areas include surgical robotics, haptic feedback systems, and advanced sensor technologies for robotic perception. Noh’s major contributions center on improving the safety and effectiveness of minimally invasive surgery (MIS). His most cited work, "A grip force model for the da Vinci end-effector to predict a compensation force" (2014, 28 citations), addresses a critical limitation of robotic MIS systems: the non-uniform gripping force caused by mechanical strings. By developing a predictive model, Noh enabled more consistent and reliable tissue manipulation, directly enhancing surgical outcomes. He further advanced this field with "Pneumatic-type surgical robot end-effector for laparoscopic surgical-operation-by-wire" (2014, 19 citations), proposing an alternative actuation method to overcome mechanical string limitations. Beyond surgery, Noh has demonstrated versatility in medical robotics with "A Study on the Development of a Robot-Assisted Automatic Laser Hair Removal System" (2014, 16 citations), which automates uniform laser delivery for dermatological procedures. His recent work, "Air-Coupled FMCW Ultrasonic Sensor for High-Resolution 3-D Perception" (2023, 4 citations), marks a shift toward autonomous systems, tackling near-field depth sensing challenges for robots and extended reality devices. With a career spanning surgical innovation to sensor development, Noh’s research consistently targets real-world limitations, making him a notable figure in applied robotics.