300 citations · 532 across the 12 of their papers we have counts for
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cs.RO2023★ 14 cited
Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering
Tae Ha Park, Simone D'Amico
This work presents an Online Supervised Training (OST) method to enable robust vision-based navigation about a non-cooperative spacecraft. Spaceborne Neural Networks (NN) are susce…
cs.RO2022★ 62 cited
Adaptive Neural Network-based Unscented Kalman Filter for Robust Pose Tracking of Noncooperative Spacecraft
Tae Ha Park, Simone D'Amico
This paper presents a neural network-based Unscented Kalman Filter (UKF) to estimate and track the pose (i.e., position and orientation) of a known, noncooperative, tumbling target…
cs.RO2021★ 3 cited
Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases
Tae Ha Park, Juergen Bosse, Simone D'Amico
This work presents the most recent advances of the Robotic Testbed for Rendezvous and Optical Navigation (TRON) at Stanford University - the first robotic testbed capable of valida…