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Yongseok Lee

9 accepted papers

2026

Human-In-The-Loop Gaussian Splatting for Robotic Teleoperation

ICRA 2026poster

Safe, precise teleoperation demands a third-person 3D view that reveals collision clearances and task-critical geometry in full detail. Yet most systems still rely on live camera streams that offer tunnel-vision perspectives and weak depth cues, hiding hazards and denying operators the spatial conte…

Cited by 0SourceScholar
2026

Human-in-the-Loop Gaussian Splatting for Robotic Teleoperation

RA-L 2026

Safe, precise teleoperation demands a third-person 3D view that reveals collision clearances and task-critical geometry in full detail. Yet most systems still rely on live camera streams that offer tunnel-vision perspectives and weak depth cues, hiding hazards and denying operators the spatial conte

Cited by 5SourceScholar
2026

TE-SDF: Tetra-Encoded Signed Distance Field for Memory-Efficient and Accurate Collision Detection

RSS 2026poster

A signed distance field (SDF) is a widely used geometric representation for robust collision detection between complex geometries, which is crucial for contact-rich simulations. While numerous works have studied SDF representations and SDF-based collision detection, achieving both memory efficiency …

Cited by 0SourceScholar
2025

GPU-Accelerated Subsystem-Based ADMM for Large-Scale Interactive Simulation

ICRA 2025

In this paper, we implement the GPU-accelerated subsystem-based Alternating Direction Method of Multipliers (SubADMM) for interactive simulation. The challenging objective for interactive simulations is to deliver realistic results under tight performance, even for large-scale scenarios. We aim to a

Cited by 0SourceScholar
2024

Accurate Robotic Pushing Manipulation Through Online Model Estimation Under Uncertain Object Properties

RA-L 2024

Robotic pushing is a fundamental non-prehensile manipulation skill essential for handling objects that are difficult to grasp. This letter proposes a highly accurate robotic pushing framework that utilizes an online estimated model to push objects along a given nominal trajectory, despite uncertain

Cited by 4SourceScholar
2015

Whole-body multi-modal semi-autonomous teleoperation of mobile manipulator systems

ICRA 2015poster

We propose a novel whole-body multi-modal semiautonomous teleoperation framework for mobile manipulator systems, which consists of: 1) Motion capture and whole-body motion mapping to allow the operator to intuitively teleoperate the mobile manipulator without being constrained by the master interfac…

Cited by 27SourceScholar