Yongseok Kwon

I'm a Ph.D. student at the University of Pennsylvania, advised by Prof. Rachel Holladay. Previously, I received my MS at the University of Michigan, advised by Prof. Ram Vasudevan.

My research aims to develop reliable algorithms that enable robots to perform a wide range of manipulation tasks. To achieve this, I focus on designing efficient representations of world models and developing robust planners/policies that account for the uncertainty inherent in these world models.

G. Scholar  •  GitHub  •  LinkedIn  •  X/Twitter
 kwonys [at] seas [dot] upenn [dot] edu

Publications

Conformalized Reachable Sets for Obstacle Avoidance With Spheres

Yongseok Kwon, Jonathan Michaux, Seth Isaacson, Bohao Zhang, Matthew Ejakov, Katherine A. Skinner, and Ram Vasudevan

IEEE International Conference on Robotics and Automation (ICRA), 2025.

project page  •  paper  •  code  

Reachability-based Trajectory Design with Neural Implicit Safety Constraints

Jonathan Michaux, Qingyi Chen, Yongseok Kwon, and Ram Vasudevan

Robotics: Science and Systems (RSS), 2023.

project page  •  paper  •  code  

Software Contributions

ZONOPY: Zonotopes in Python

A Python library for handling various continuous sets (e.g., intervals, zonotopes, and polynomial zonotopes) to compute reachable sets in robotic arm kinematics and dynamics, with support for parallel computation.

▸ zonopy :  code  •  documentation 

▸ zonopy-robots :  code  •  documentation