Tae Ha Park
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About me

I’m a GN&C engineer at Nara Space in Seoul, South Korea. My work spans mission analysis and flight-algorithm development, alongside research on advanced AI and vision methods for space situational awareness (SSA) and rendezvous and proximity operations (RPO).

Previously I did my Ph.D. at the Space Rendezvous Laboratory (SLAB) in the Department of Aeronautics & Astronautics at Stanford University advised by Dr. Simone D'Amico. There, my research covered the complete pipeline of machine learning development for spaceborne computer vision applications, from dataset generation and neural network design to on-ground validation and integration into GN&C algorithms. Potential applications of my research include space situational awareness and logistics, such as active debris removal, inspection and refueling of defunct satellites.

Publications

All publications →

conference

Rapid and Physically-Based Gaussian Splatting of Unknown Space Objects in Low Earth Orbit

2026 International Conference on Robotics and Automation (ICRA) Workshop, Vienna, Austria (2026)

journal

Bridging the Domain Gap for Flight-Ready Spaceborne Vision

Journal of Spacecraft and Rockets (2026)

conference

Improved 3D Gaussian Splatting of Unknown Spacecraft Structure Using Space Environment Illumination Knowledge

2025 International Conference on Space Robotics (iSpaRo), Sendai, Japan (2025)
Tae Ha Park

Tae Ha "Jeff" Park

GN&C Engineer
Nara Space

Seoul, Korea

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News

  • 2026/05Our paper Rapid and Physically-Based Gaussian Splatting of Unknown Space Objects in Low Earth Orbit has been accepted for a spotlight talk for the From Sea to Space: Advancing Perception in Harsh Domains workshop at ICRA 2026. See you in Vienna, Austria! :austria:
  • 2025/09Our paper Improved 3D Gaussian Splatting of Unknown Spacecraft Structure Using Space Environment Illumination Knowledge has been accepted at 2025 International Conference on Space Robotics (iSpaRo). See you in Sendai, Japan! :jp:
  • 2025/09Our paper Bridging the Domain Gap for Flight-Ready Spaceborne Vision has been accepted to Journal of Spacecraft and Rockets!
  • 2025/04Our paper Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap, published in the 2024/06 issue of Advances in Space Research, received the 2024 COSPAR Outstanding Paper Award for Young Scientists!
  • 2024/07I started working as a GN&C engineer at Nara Space Technology Inc. in Seoul, South Korea. :kr:
  • 2024/06My Ph.D. thesis Robust machine learning for vision-based navigation about non-cooperative resident space objects is now available online!
  • 2024/04Our paper Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results, published in the 2020/10 issue of the IEEE Transactions on Aerospace and Electronic Systems, received the M. Barry Carlton Award!
  • 2024/01Our paper Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering has been accepted to ICRA 2024!

© 2026 Tae Ha Park

thpark@naraspace.com