Siyeon Kim

Hi, I am Siyeon Kim. I'm a 4th year PhD student in Utah Learning Lab for Manipulation Autonomy (Ll4ma) at University of Utah in Salt Lake City, working with Prof. Tucker Hermans. I received my master's degree in Computer science and engineering (CSE) at Ewha Womans University in Seoul, South Korea, with Prof. Young J. Kim in 2021.

Email  /  CV  /  Scholar  /  Github  /  Linkedin

profile photo

Research

I'm Interested in the intersection of Robotics and Machine Learning, specifically focusing on Robot Learning, Robot Manipulation, Task-and-Motion Planning (TAMP).

Publications
thumbnail Contact Makes It Multimodal: Learning Probabilistic Skill Effects from Partial Point Clouds
Siyeon Kim, Mohanraj D. Shanthi*, Joseph C. Liechty*, Tucker Hermans.
Under Review, 2026.

DiffDef: a Diffusion Model for Generating Multimodal Goal Shapes From Demonstrations for Deformable Object Manipulation
Bao Thach, Tanner Watts, Siyeon Kim, Britton Jordan, Mohanraj D. Shanthi, Tanner Watts, Shing-Hei Ho, James M. Ferguson, Tucker Hermans, Alan Kuntz.
IEEE International Conference on Robotics and Automation (ICRA), 2026.
paper

thumbnail Learning Multimodal Probabilistic Models of Manipulation Skill Effects
Siyeon Kim, Mohanraj D. Shanthi*, Yixuan Huang*, Tucker Hermans.
ArXiv preprint, 2025.
CoRL Workshop on Learning to Simulate Robot Worlds (LSRW), 2025.
paper

Synthesizing the Roughness of Textured Surfaces for an Encountered-type Haptic Display using Spatiotemporal Encoding
Yaesol Kim, Siyeon Kim, Uran Oh, Young J. Kim.
IEEE Transactions on Haptics (ToH), 2020.
project page • paper • video