Sungpyo Lee — accepted AI-conference papers

2025

Robust and Expressive Humanoid Motion Retargeting via Optimization-Based Rig Unification

Taemoon Jeong, Taehyun Byun, Jihoon Kim, Keunjun Choi, Jaesung Oh, Sungpyo Lee +3

IROS 2025

Humanoid robots are increasingly being developed for seamless interaction with humans in diverse domains, yet generating expressive and physically-feasible motions remains a core challenge. We propose a robust and automated pipeline for motion retargeting that enables the generation of natural, stab

Cited by 2 Source ↗Scholar ↗

2022

A Proprioceptive Haptic Device Design for Teaching Bimanual Manipulation

Choongin Lee, Taeyoon Lee, Jae-Kyung Min, Albert Wang, SungPyo Lee, Jaesung Oh +2

ICRA 2022poster

Manipulation involves a broad spectrum of skills, e.g., polishing, peeling, flipping, screwing, etc., requiring complex and delicate control over both force and position. This paper aims at designing an optimal haptic interface for providing a robot with direct demonstrations of human's innate intel…

Cited by 3 Source ↗Scholar ↗