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Sanghun Lee

3 accepted papers

2026

Origami-Based Inner Channel Securing Mechanism for Soft Growing Robots

RA-L 2026

Soft growing robots possess unique advantages, such as the ability to navigate confined and complex environments. Although securing a stable inner channel is essential for enabling a wide range of applications, such as sensor integration, tool passage, and material transfer, the pressure required fo

Cited by 0SourceScholar
2025

Helical Structured Soft Growing Robot for Hazardous Gas Suction in Inaccessible Environments

ICRA 2025

Immediate removal of hazardous gases is critical for ensuring safety. Traditional methods, such as portable ventilation equipment, are difficult to use when hazardous gases are released in inaccessible environments. In this paper, we propose a novel mechanism that integrates an inflatable helical st

Cited by 2SourceScholar
2024

Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing

RA-L 2024

Autonomous racing confronts significant challenges in safely overtaking Opponent Vehicles (OVs) that exhibit uncertain trajectories, stemming from unknown driving policies. To address these challenges, this study proposes heterogeneous kernel metrics for Deep Kernel Learning (DKL), designed to robus

Cited by 0SourceScholar