Personal profile
In Korean
남세광 교수(데이터사이언스대학원 데이터사이언스학과)
Education
o (2011) B.E., Kanazawa University, Japan
o (2013) M.S., University of California, San Diego, La Jolla, USA
o (2022) Dr. rer. nat., University of Tuebingen
o (2013) M.S., University of California, San Diego, La Jolla, USA
o (2022) Dr. rer. nat., University of Tuebingen
Professional Experience
o (2024~Present) Assistant Professor, Kyungpook National University, Daegu
o (2022~2022) Postdoctoral Research Associate, University of Bristol, UK
o (2013~2017) Electronics and Telecommunications Research Institute, Daejeon
o (2022~2022) Postdoctoral Research Associate, University of Bristol, UK
o (2013~2017) Electronics and Telecommunications Research Institute, Daejeon
Research Interests
Robotic tactile sensors, Robot object manipulation, Haptics, Contact mechanics, Sensors, Actuators
Major Research Achievements
o Softness prediction with a soft biomimetic optical tactile sensor
o Vision and tactile pose identification for picking a target without collision
o Highly contrastive, real-time modulation of light intensity by rreversible stress-whitening of spontaneously formed nanocomposites: application to wearable strain sensors
o Optimizing a viscoelastic finite element model to represent the dry, natural, and moist human finger pressing on glass
o Physical variables underlying tactile stickiness during fingerpad detachment
o Vision and tactile pose identification for picking a target without collision
o Highly contrastive, real-time modulation of light intensity by rreversible stress-whitening of spontaneously formed nanocomposites: application to wearable strain sensors
o Optimizing a viscoelastic finite element model to represent the dry, natural, and moist human finger pressing on glass
o Physical variables underlying tactile stickiness during fingerpad detachment
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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TacFinRay: Soft Tactile Fin-Ray Finger With Indirect Tactile Sensing for Robust Grasping
Nam, S., Deng, B., Lee, L. Y., Rossiter, J. M. & Lepora, N. F., 2026, In: IEEE Robotics and Automation Letters. 11, 3, p. 2722-2729 8 p.Research output: Contribution to journal › Article › peer-review
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A Preliminary Study on Softness Optimization Using Machine Learning for the Digital Twin of Soft Robots
Kwon, T. & Nam, S., 2025, In: Journal of Institute of Control, Robotics and Systems. 31, 5, p. 490-495 6 p.Research output: Contribution to journal › Article › peer-review
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Channel-attention 1D-CNNs for Real-time Collision Detection in Human-robot Interaction via Audio Spectral Features
Kwon, T., Jang, J. & Nam, S., Nov 2025, In: International Journal of Control, Automation and Systems. 23, 11, p. 3370-3382 13 p.Research output: Contribution to journal › Article › peer-review
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Data-Driven Compliance Discrimination via Biomimetic Soft Optical Tactile Sensors: Implementation and Benchmarking With a Model-Based Approach
Susini, P., Pagnanelli, G., Nam, S., Lepora, N. F. & Bianchi, M., 2025, In: IEEE Robotics and Automation Letters. 10, 8, p. 8083-8090 8 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Fin-A-Rays: Expanding Soft Gripper Compliance via Discrete Arrays of Flexible Structures
Lee, L. Y., Terrile, S., Nam, S., Liang, T., Lepora, N. & Rossiter, J., 2025, (Accepted/In press) In: Soft Robotics.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations