I am interested in Embodied AI, focusing on solving the problems that occur when AI operates in the physical world.
I want to create a world where robots and humans live harmoniously.
Squeezing the Last Drop of Accuracy: Hand-Eye Calibration via Deep Reinforcement Learning-Guided Pose Tuning
Seunghui Shin, Daeho Kim, and Hyoseok Hwang*
IEEE Robotics and Automation Letters (RA-L), 2025,
GAIA: Generating Task Instruction Aware Simulation Grounded in Real Contexts using Vision-Language Models
Dogyu Ko†, Chanyoung Yeo†, Daeho Kim, Jaeho Kim and Hyoseok Hwang*
IEEE Robotics and Automation Letters (RA-L), 2025,
Camera-LiDAR Extrinsic Calibration using Constrained Optimization with Circle Placement
Daeho Kim, Seunghui Shin, and Hyoseok Hwang*
IEEE Robotics and Automation Letters (RA-L), 2024, (ICRA 2025 presentation)
PAIR360: A Paired Dataset of High-Resolution 360◦ Panoramic Images and LiDAR Scans
Geunu Kim, Daeho Kim, Jaeyun Jang and Hyoseok Hwang*
IEEE Robotics and Automation Letters (RA-L), 2024, (ICRA 2025 presentation)
Developing OHT position-aware sensor technology, with CanTops, 2024-2025
Camera-Marker Pose Estimation / Localization / Line-scanner
Pick and Place system with 6-DOF Pose Estimation using DOPE, project, 2023
Pick and Place / 6-DOF Pose estimateion / Domain Generalization
Camera-LiDAR Extrinsic Calibration using an Ordinary Box, code, 2022
Extrinsic Calibration / Sequential-RANSAC
SWCON36600: 3D Data Processing, 2024
SWCON33100: Robot Programming, 2023