Hun Chan Lee — accepted AI-conference papers

2026

Model-Free Control of a Soft-Rigid Hybrid Robot for Laser-Assisted Surgery

Hun Chan Lee, Hyunje Cho, Avantika Kothandaraman, Devin Dembrow, Jinkyu Kwon, Sheila Russo

RA-L 2026

Soft robots possess an inherent mechanical compliance that enables safe and adaptive interaction with delicate structures and confined environments. However, their virtually infinite degrees of freedom introduce significant challenges in achieving precise and repeatable motion control. In laser-assi

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2024

Capacitive Origami Sensing Modules for Measuring Force in a Neurosurgical, Soft Robotic Retractor

Daniel Van Lewen, Catherine Wang, Hun Chan Lee, Anand Devaiah, Urvashi Upadhyay, Sheila Russo

ICRA 2024poster

In neurosurgery, soft robots have the potential to introduce significant benefits over traditional metal tools for their ability to safely interact with delicate tissues. In this paper, we introduce a proof-of-concept soft, capacitive origami sensing module (OSM) that can measure forces during neuro…

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