Ikhyeon Cho

Ph.D. Candidate

Expected Feb 2027

CVGoogle ScholarGitHubLinkedInikhyeon.c@gmail.com
Portrait of Ikhyeon Cho

I am a Ph.D. candidate in Mechanical Engineering at Korea University, where I also earned my B.S.Advised by Prof. Woojin Chung, I've been fortunate to lead several collaborative research projects with industry partners, including Hyundai Motor Group's Robotics LAB and L Project Team, as well as Hyundai Mobis.

Research

My research aims to advance robotic intelligence that evolves through experience, with an emphasis on the following areas:

Looking ahead, I am interested in embodied robot learning—how robots learn and adapt task-driven behaviors through physical interaction.

Publications & Preprints

  1. Terrablox elevation mapping demonstration in a dynamic urban environment.

    Terrablox: Evidential Persistence Reasoning for Robot-Centric Elevation Mapping in Dynamic Urban Environments

    Ikhyeon Cho, Geonhyeok Park, Woojin Chung

    IEEE Robotics and Automation Letters (RA-L)Under Review

  2. LiDAR global localization demonstration on a dense 3D map.

    MapGLoc: Robust LiDAR Global Localization on Dense 3D Maps for Mobile Robots

    Geonhyeok Park, Ikhyeon Cho, Jinwon Lee, Seongjoon Moon, Woojin Chung

    IEEE Robotics and Automation Letters (RA-L)Under Review

  3. Multi-agent path finding demonstration.

    Robust Multi-Agent Path Finding Method for Obstacles and Environmental Changes in Factory Environments

    Seihoon Park, Jinwon Lee, Geonhyeok Park, Ikhyeon Cho, Seongjoon Moon, Woojin Chung

    Sensors, 2026

    Paper
  4. LeSTA demonstration of automatic weak labeling and traversability mapping.

    Learning Self-Supervised Traversability With Navigation Experiences of Mobile Robots: A Risk-Aware Self-Training Approach

    Ikhyeon Cho, Woojin Chung

    IEEE Robotics and Automation Letters (RA-L), 2024

    ICRA@40PaperCode
  5. ODS-Bot navigating an outdoor pedestrian walkway.

    ODS-Bot: Mobile Robot Navigation for Outdoor Delivery Services

    Jinwon Lee, Geonhyeok Park, Ikhyeon Cho, Keundong Kang, Daehyun Pyo, Soohyun Cho, Minwoo Cho, Woojin Chung

    IEEE Access, 2022

    PaperCode
View all publications →

Open-Source Software

More on GitHub →

Selected Projects

  • Project Lead
    Robot-specific traversability research demonstration.

    Learning Robot-Specific Traversability from Navigation Experience

    Funded by Hyundai Motor GroupWith Robotics LAB · 2021–2022

    Description

    Learns robot-specific traversability through online self-supervision from short driving demonstrations.

  • Project Lead
    Fast elevation mapping demonstration for terrestrial robotic exploration.

    Real-Time Mapping for Robotic Exploration in Rough Terrain

    Funded by Hyundai Motor GroupWith L Project Team · 2025

    Description

    Performs online terrain mapping using LiDAR or RGB-D data for autonomous exploration on resource-constrained robots.

  • Project Lead
    Mobile robots beside storage bins and fenced equipment in an industrial robotics facility

    Multi-Robot Perception and Navigation in Dynamic Factory Environments

    Funded by Hyundai Mobis2025

    Description

    Coordinates multi-robot navigation around unexpected obstacles using camera–LiDAR perception, shared obstacle tracking, and adaptive replanning.

  • Project Co-Lead
    Robot-in-the-loop testbed with a physical robot and simulation.

    Robot-in-the-Loop Simulation for Autonomous Navigation

    Funded by Korea Testing Laboratory (KTL)2026

    Description

    Connects physical robot hardware with Isaac Sim to evaluate autonomous navigation consistently across robot platforms and software stacks.