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Daeho Kim



Daeho Kim
E-Maill, Google Scholar, CV, Github

About

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.


Research

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)

paper / code 

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)

paper / dataset 

Projects (Company, Technical Reports) 

  • 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

Teaching Assistant 

  • SWCON36600: 3D Data Processing, 2024 

  • SWCON33100: Robot Programming, 2023 

 

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