2026

conference

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

Spotlight

Tae Ha Park

2026 International Conference on Robotics and Automation (ICRA) Workshop, Vienna, Austria (2026) · From Sea to Space: Advancing Perception in Harsh Domains

journal

Bridging the Domain Gap for Flight-Ready Spaceborne Vision

Tae Ha Park, Simone D'Amico

Journal of Spacecraft and Rockets (2026)

2025

conference

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

Tae Ha Park, Simone D'Amico

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

2024

conference

Adaptive End-to-End Architecture for Autonomous Spacecraft Navigation and Control During Rendezvous and Proximity Operations

Justin J. Kruger, Tommaso Guffanti, Tae Ha Park, Mason Murray-Cooper, Samuel Y. Low, Toby Bell, Simone D'Amico, Christopher W. Roscoe and Jason Westphal

AIAA SciTech Forum, Orlando, Florida, 2024/01

conference

Rapid Abstraction of Spacecraft 3D Structure from Single 2D Image

Tae Ha Park, Simone D'Amico

AIAA SciTech Forum, Orlando, Florida, 2024/01

conference

SPEED-UE-Cube: A Machine Learning Dataset for Autonomous, Vision-Based Spacecraft Navigation

Zahra Ahmed, Tae Ha Park, Abhijit Bhattacharjee, Reza Fazel-Rezai, Russell Graves, Ossi Saarela, Reece Teramoto, Kautilya Vemulapalli, Simone D'Amico

46th Rocky Mountain AAS Guidance, Navigation and Control Conference, Breckenridge, Colorado, 2024/02

conference

Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering

Tae Ha Park, Simone D'Amico

2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan (2024)

conference

Improving Zero-Shot Abstraction of Unknown Spacecraft 3D Shape as Primitive Assembly

Tae Ha Park, Emily Bates, Simone D'Amico

12th International Workshop on Satellite Constellations & Formation Flying (IWSCFF), Kaohsiung, Taiwan, 2024/12

dataset

SPE3R: Synthetic Dataset for Satellite Pose Estimation and 3D Reconstruction

Tae Ha Park, Simone D'Amico

Stanford Digital Repository (2024)

journal

Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap

COSPAR Outstanding Paper Award for Young Scientists

Tae Ha Park, Simone D'Amico

Advances in Space Research (2024)

thesis

Robust machine learning for vision-based navigation about non-cooperative resident space objects

Tae Ha Park

Ph.D. Thesis, Stanford University (2024)

2023

journal

Satellite Pose Estimation Competition 2021: Results and Analyses

Tae Ha Park, Marcus Märtens, Mohsi Jawaid, Zi Wang, Bo Chen, Tat-Jun Chin, Dario Izzo, Simone D'Amico

Acta Astronautica (2023)

journal

Leveraging Neural Network Uncertainty in Adaptive Unscented Kalman Filter for Spacecraft Pose Estimation

Lorenzo Pasqualetto Cassinis, Tae Ha Park, Nathan Stacey, Simone D’Amico, Alessandra Menicucci, Eberhard Gill, Ingo Ahrns, Manuel Sanchez-Gestido

Advances in Space Research (2023)

journal

Adaptive Neural-Network-Based Unscented Kalman Filter for Robust Pose Tracking of Noncooperative Spacecraft

Tae Ha Park, Simone D'Amico

Journal of Guidance, Control, and Dynamics (2023)

2022

conference

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Tae Ha Park, Marcus Märtens, Gurvan Lecuyer, Dario Izzo, Simone D'Amico

IEEE Aerospace Conference, Big Sky, Montana, 2022/03

dataset

SHIRT: Satellite Hardware-In-the-loop Rendezvous Trajectories Dataset

Tae Ha Park, Simone D'Amico

Stanford Digital Repository (2022)

2021

conference

Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases

Tae Ha Park, Juergen Bosse, Simone D'Amico

2021 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, Virtual, 2021/08

dataset

Next Generation Spacecraft Pose Estimation Dataset (SPEED+)

Tae Ha Park, Marcus Märtens, Gurvan Lecuyer, Dario Izzo, Simone D'Amico

Stanford Digital Repository (2021)

2020

conference

Generative Model for Spacecraft Image Synthesis using Limited Dataset

Tae Ha Park, Simone D'Amico

2020 AAS/AIAA Astrodynamics Specialist Conference, South Lake Tahoe, California, 2020/08

journal

Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results

M. Barry Carlton Award

Mate Kisantal, Sumant Sharma, Tae Ha Park, Dario Izzo, Marcus Märtens, Simone D'Amico

IEEE Transactions on Aerospace and Electronic Systems (2020)

2019

conference

Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft

Best Paper Award

Tae Ha Park, Sumant Sharma, Simone D'Amico

2019 AAS/AIAA Astrodynamics Specialist Conference, Portland, Maine, 2019/08

dataset

Spacecraft Pose Estimation Dataset (SPEED)

Sumant Sharma, Tae Ha Park, Simone D'Amico

Stanford Digital Repository (2019)