Hyun Seok Oh

About

Hyun Seok Oh is a robotics researcher whose work spans human-robot interaction, sensor calibration, and anthropomorphic robotic hand design. His most influential contribution, "Variable Admittance Control of Robot Manipulators Based on Human Intention" (2019, 124 citations), introduced a pioneering framework for intuitive human-robot collaboration by classifying human intention into direct and indirect categories and developing adaptive control strategies accordingly. This work has become a notable reference in the physical human-robot interaction community. Oh has also made significant strides in sensor technology, applying deep learning to the complex problem of multi-axial force/torque sensor calibration — work that has accumulated over 70 citations across multiple publications and addresses the longstanding challenge of nonlinearity and coupling errors in robotic sensing systems. His research on anthropomorphic robot hands demonstrates a sustained interest in biomimetic design, with contributions including 3D-printable hand architectures and kinematic optimization methods using novel performance indices such as "Interactivity of Fingers." These efforts reflect a broader vision of creating robot hands that closely replicate human dexterity. With over 250 cumulative citations, Oh's research meaningfully advances both the theoretical foundations and practical implementation of intelligent, human-centered robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Variable Admittance Control of Robot Manipulators Based on Human Intention

   124 citations · 2019
2. 2
   Multi-Axial Force/Torque Sensor Calibration Method Based on Deep-Learning

   58 citations · 2018
3. 3
   Design of a 3D-printable, robust anthropomorphic robot hand including intermetacarpal joints

   23 citations · 2018
4. 4
   Kinematic design optimization for anthropomorphic robot hand based on interactivity of fingers

   19 citations · 2019
5. 5
   Force/torque sensor calibration method by using deep-learning

   13 citations · 2017
6. 6
   Kinematic design optimization of anthropomorphic robot hand using a new performance index

   5 citations · 2017
7. 7
   Tomographic strain indicator of chiral liquid crystalline elastomer

   4 citations · 2025
8. 8
   Calibration of 6 axis force/torque sensor by using deep-learning method

   4 citations · 2017
9. 9
   Design of anthropomorphic robot hand with IMC joints

   3 citations · 2016

Key Collaborators

Contact & Links