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shkwon98/README.md

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About

I build robot software and control architectures that connect learning-based intelligence with reliable physical execution.

Recent advances in Vision-Language-Action models have enabled increasingly general robot behavior, but their effectiveness on real hardware still depends on more than generating poses, waypoints, or trajectories. I am interested in making these systems more contact-aware, execution-aware, and physically grounded, particularly for manipulation tasks where success depends on how a robot interacts with the world as much as where it moves.

My research focuses on policies and control systems that account for motion feasibility, contact, compliance, force, uncertainty, and execution feedback. Drawing on experience in robotic manipulation, real-time control, teleoperation, and robot software infrastructure, I approach Physical AI through the execution layer—how learned intelligence interfaces with sensing, control, timing, and hardware constraints to produce stable and adaptive behavior on physical robots.

Research Focus

  • Execution-Aware Physical AI
    Multimodal robotic foundation models and learning-based sensorimotor intelligence for embodied agents, with an emphasis on policies that account for physical feasibility, contact, feedback, and real robot constraints.

  • Dexterous Manipulation and Robotic Hands
    Functional grasping, dexterous hand control, and contact- and force-aware manipulation that enable robots to interact with objects according to their physical properties and intended use.

  • Humanoid Motion, Retargeting, and Teleoperation
    Whole-body motion realization, sparse motion tracking, real-time human-to-robot retargeting, and teleoperation across different robot embodiments.

  • Real-Time Robot Systems
    Software and control architectures that connect learned policies with sensing, communication, and physical hardware, including real-time control, system integration, and communication protocol design.

Career

  • Robotics Researcher at Robotics SW Team (Team Lead), Tommoro Robotics, Seoul, Korea (2026.07 – Present)
  • Robotics Researcher at Robot Platform Team, Tommoro Robotics, Seoul, Korea (2025.11 – 2026.07)
  • System Software Engineer at Recreational Boat Autonomous Team, Avikus, HD Hyundai, Seoul, Korea (2023.01 – 2025.11)
  • Undergraduate Researcher at Center for Intelligent and Interactive Robotics, AI·Robot Institute, Korea Institute of Science and Technology, Seoul, Korea (2022.06 – 2022.08)
  • Undergraduate Researcher at Center for Intelligent and Interactive Robotics, AI·Robot Institute, Korea Institute of Science and Technology, Seoul, Korea (2021.12 – 2022.02)

Education

Technical Stack

  • LanguagesC · C++ · Python · MATLAB
  • RoboticsROS 2 · ros2_control · MoveIt 2
  • SimulationMuJoCo
  • Vision & GeometryOpenCV · GEOS
  • Communication & Hardware InterfacesDDS · ZeroMQ · gRPC · EtherCAT
  • Application DevelopmentQt · wxWidgets
  • DataPostgreSQL · SQLite
  • Systems & ToolingLinux · Docker · CMake · Git

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  1. Sunghyun Kwon's GitHub Stats Sunghyun Kwon's GitHub Stats
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    ⭐    Total Stars:                               54
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    ➕    Total Commits:                          3,029
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    🔀    Total PRs:                                 27
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    🚩    Total Issues:                               4
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    📦    Contributed to:                            21
  2. I'm an early 🐤 I'm an early 🐤
    1
    🌞 Morning   161 commits  ██▍░░░░░░░░░░░░░░░░░░  11.4%
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    🌆 Daytime   622 commits  █████████▎░░░░░░░░░░░  44.1%
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    🌃 Evening   384 commits  █████▋░░░░░░░░░░░░░░░  27.2%
    4
    🌙 Night     243 commits  ███▌░░░░░░░░░░░░░░░░░  17.2%
  3. 💻 Programming Language Stats 💻 Programming Language Stats
    1
            C++ ██████████████████████░░░░░░░░░░░░░░ 58.61%
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              C ████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 20.87%
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            TeX ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  4.04%
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         Python ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  3.71%
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           HTML ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  3.14%