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<!DOCTYPE html>
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  <title>SeungJun Tak</title>

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          <h1 class="name" title="SeungJun Tak">SeungJun Tak</h1>

          <p class="title">M.S.–Ph.D. Student</p>
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              <address>Sungkyunkwan Univ.</address>
              <address>Suwon, Republic of Korea</address>
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          <h3 class="h3 article-title">About me</h3>
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          <p>
            I am an M.S.–Ph.D. integrated program student in Intelligent Robotics at Sungkyunkwan University, advised by Professor <a href="https://bogus2000.github.io" target="_blank" rel="noopener noreferrer">Hyeonwoo Yu</a>.
            Previously, I received a B.S. in Electrical Engineering from UNIST.
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              <!-- Robot Perception, SLAM, 3D Reconstruction -->
              Driven by a deep interest in Simultaneous Localization and Mapping (SLAM) and 3D scene representation, I am currently researching advanced SLAM methodologies capable of robust performance in dynamic environments with moving objects and changing environments.
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          <h3 class="h3 article-title">Publications</h3>

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              <span class="publication-venue">ECCV 2026</span>
              <span class="publication-status">Accepted</span>
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            <h4 class="publication-title">Real-Time LiDAR Gaussian Splatting SLAM via Geometry-Aware Covariance Coupling</h4>
            <p class="publication-authors"><strong>SeungJun Tak<sup>*</sup></strong>, Yewon Jeon<sup>*</sup>, Jaeik Hwang, Suk Min Hwang, Seongbo Ha, Hyeonwoo Yu</p>
            <p class="publication-note"><sup>*</sup> Equal contribution</p>
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              <a href="https://lab-of-ai-and-robotics.github.io/GS-SLAM-Family/" target="_blank" rel="noopener noreferrer">Project</a>
              <a href="https://arxiv.org/abs/2607.04127" target="_blank" rel="noopener noreferrer">arXiv</a>
              <a href="https://github.com/Lab-of-AI-and-Robotics/LiDAR-GS-SLAM" target="_blank" rel="noopener noreferrer">Code</a>
              <a href="https://youtu.be/NsbvDb8hZbA" target="_blank" rel="noopener noreferrer">Video</a>
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            <h3 class="h3">Education</h3>
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          <ol class="timeline-list">

            <li class="timeline-item">
              <time class="timeline-date">2023.09 — Present</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">M.S.–Ph.D. Integrated Program</h4>
                <p class="timeline-text">
                  <strong>Sungkyunkwan University</strong><br>
                  Intelligent Robotics<br>
                  Advisor: Prof. Hyeonwoo Yu
                </p>
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            <li class="timeline-item">
              <time class="timeline-date">2017.03 — 2023.08</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">B.S. in Electrical Engineering</h4>
                <p class="timeline-text"><strong>UNIST</strong></p>
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            <h3 class="h3">Publications</h3>
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          <div class="publication-group">
            <h4 class="publication-group-title">International</h4>
            <ol class="publication-list">
              <li class="publication-item">
                <div class="publication-meta">
                  <span class="publication-venue">ECCV 2026</span>
                  <span class="publication-status">Accepted</span>
                </div>
                <h4 class="publication-title">Real-Time LiDAR Gaussian Splatting SLAM via Geometry-Aware Covariance Coupling</h4>
                <p class="publication-authors"><strong>SeungJun Tak<sup>*</sup></strong>, Yewon Jeon<sup>*</sup>, Jaeik Hwang, Suk Min Hwang, Seongbo Ha, Hyeonwoo Yu</p>
                <p class="publication-note"><sup>*</sup> Equal contribution</p>
                <div class="publication-links">
                  <a href="https://lab-of-ai-and-robotics.github.io/GS-SLAM-Family/" target="_blank" rel="noopener noreferrer">Project</a>
                  <a href="https://arxiv.org/abs/2607.04127" target="_blank" rel="noopener noreferrer">arXiv</a>
                  <a href="https://github.com/Lab-of-AI-and-Robotics/LiDAR-GS-SLAM" target="_blank" rel="noopener noreferrer">Code</a>
                  <a href="https://youtu.be/NsbvDb8hZbA" target="_blank" rel="noopener noreferrer">Video</a>
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            <h4 class="publication-group-title">Domestic</h4>
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              <li class="publication-item">
                <div class="publication-meta">
                  <span class="publication-venue">KRoC 2026</span>
                  <span class="publication-status">Published</span>
                </div>
                <h4 class="publication-title">변화하는 물류 환경에 강건한 위치 추정 기법</h4>
                <p class="publication-english-title">Robust Localization in Changing Logistics Environments</p>
                <p class="publication-authors"><strong>SeungJun Tak</strong>, HyeonWoo Yu</p>
              </li>

              <li class="publication-item">
                <div class="publication-meta">
                  <span class="publication-venue">KRoC 2025</span>
                  <span class="publication-status">Published</span>
                </div>
                <h4 class="publication-title">기둥 특징점을 활용한 물류창고 환경 SLAM</h4>
                <p class="publication-english-title">SLAM in Logistics Environments Using Pillar Feature Points</p>
                <p class="publication-authors"><strong>SeungJun Tak</strong>, HyeonWoo Yu</p>
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            <h3 class="h3">Research Projects</h3>
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            <li class="timeline-item">
              <time class="timeline-date">2026.07 — 2027.04</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">Real-Time 3D RGB-D SLAM System for Humanoid Robots and Low-Profile AMRs</h4>
                <p class="timeline-text"><strong>LG Electronics, HS</strong> · Research Participant</p>
              </div>
            </li>

            <li class="timeline-item">
              <time class="timeline-date">2026.04 — 2026.12</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">Development of a SLAM-Drone-Based Cart Monitoring System</h4>
                <p class="timeline-text"><strong>LG PRI</strong> · Research Participant</p>
              </div>
            </li>

            <li class="timeline-item">
              <time class="timeline-date">2026.01 — 2026.11</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">Physical AI–Based Integrated Autonomous Navigation for AMRs</h4>
                <p class="timeline-text"><strong>Samsung Electronics GTR</strong> · Research Participant</p>
              </div>
            </li>

            <li class="timeline-item">
              <time class="timeline-date">2025.05 — 2026.05</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">Real-Time High-Resolution 3D RGB-D SLAM for Embedded Systems in Changing Environments</h4>
                <p class="timeline-text"><strong>LG Electronics, HS</strong> · Research Participant</p>
              </div>
            </li>

            <li class="timeline-item">
              <time class="timeline-date">2024.08 — 2025.03</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">Sensor Fusion 3D LiDAR Mapping and Map-Based Localization for AMRs</h4>
                <p class="timeline-text"><strong>Mobyus</strong> · Research Participant</p>
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            <h3 class="h3">Experience</h3>
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            <li class="timeline-item">
              <time class="timeline-date">2023.09 — 2024.02</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">Teaching Assistant — 3D SLAM Techniques and Adaptive Perception Technologies Using Unsupervised Learning</h4>
                <p class="timeline-text"><strong>UNIST</strong></p>
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            <li class="timeline-item">
              <time class="timeline-date">2023.04 — 2023.07</time>
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                <h4 class="h4 timeline-item-title">Teaching Assistant — Kyungnam AI Novatus Academy</h4>
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            <li class="timeline-item">
              <time class="timeline-date">2022.08.03</time>
              <div class="timeline-content">
                <h4 class="h4 timeline-item-title">Teaching Assistant — LG DX Intensive Course</h4>
                <p class="timeline-text">Privacy-Preserving Machine Learning</p>
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            <h3 class="h3">Technical Skills</h3>
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          <dl class="technical-skills-list">
            <div><dt>Programming</dt><dd>C++, Python, CUDA</dd></div>
            <div><dt>Robotics</dt><dd>ROS/ROS 2, LiDAR SLAM, Visual SLAM, Sensor Fusion</dd></div>
            <div><dt>Machine Learning</dt><dd>PyTorch, Gaussian Splatting</dd></div>
            <div><dt>Tools</dt><dd>Linux, Git, Docker</dd></div>
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