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Dae-Kwan Ko

2 accepted papers

2026

ThermoAct: Thermal-Aware Vision-Language-Action Models for Robotic Perception and Decision-Making

RA-L 2026

In recent human-robot collaboration environments, there is a growing focus on integrating diverse sensor data beyond visual information to enable safer and more intelligent task execution. Although thermal data can be crucial for enhancing robot safety and operational efficiency, its integration has

Cited by 0SourceScholar
2021

Toward Vision-Based High Sampling Interaction Force Estimation With Master Position and Orientation for Teleoperation

RA-L 2021

In this study, a vision-based high sampling rate interaction force estimation method is proposed for teleoperation systems that uses master position and orientation information without using physical sensors such as force/torque (F/T) or tactile sensors. The proposed method uses red-green-blue (RGB)

Cited by 14SourceScholar