PhD student

Wonkyung Do

Wonkyung Do is a Ph.D. student in the ARMLab in Mechanical Engineering. He is interested in tactile sensing, control theory, optimization, human-robot interaction, and utilizing robotic perception systems to make the eidetic interface for an autonomous robot. He worked at Naver Labs on developing online social touch pattern recognition using a multimodal tactile interface.

Education

B.S. Mechanical Engineering, Seoul National University, 2019

Research

Tactile Sensing for Dexterous Robot Manipulation

Contact

Links

Website

Publications

Solano-Castellanos, J., Do, W. K., & Kennedy, M. (2024). Embedded object detection and mapping in soft materials using optical tactile sensing. SN Computer Science, 5, 1-11. https://doi.org/10.1007/s42979-024-02731-6
Swann, A., Strong, M., Do, W. K., Camps, G., Schwager, M., & Kennedy, M. (2024). Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting. Arxiv. https://arxiv.org/abs/2403.09875
Do, W. K., Aumann, B., Chungyoun, C., & Kennedy, M. (2023, November 17). Inter-finger Small Object Manipulation with DenseTact Optical Tactile Sensor. IEEE Robotics and Automation Letters. https://ieeexplore.ieee.org/document/10321631
Do, W. K., Dhawan, A., Kitzmann, M., & Kennedy, M. (2023, September 16). DenseTact-Mini: An Optical Tactile Sensor for Grasping Multi-Scale Objects From Flat Surfaces. Arxiv. https://arxiv.org/abs/2309.08860
Do, W. K., Jurewicz, B., & Kennedy, M. (2023, May). DenseTact 2.0: Optical Tactile Sensor for Shape and Force Reconstruction. 2023 IEEE International Conference on Robotics and Automation (ICRA). https://ieeexplore.ieee.org/document/10161150
Do, W. K., & Kennedy III, M. (2022). DenseTact: Optical Tactile Sensor for Dense Shape Reconstruction. 2022 International Conference on Robotics and Automation (ICRA), 6188-6194. https://doi.org/10.1109/ICRA46639.2022.9811966