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astro-ph.IM2025
Stereovision Image Processing for Planetary Navigation Maps with Semi-Global Matching and Superpixel Segmentation
Yan-Shan Lu, Miguel Arana-Catania, Saurabh Upadhyay +1
Mars exploration requires precise and reliable terrain models to ensure safe rover navigation across its unpredictable and often hazardous landscapes. Stereoscopic vision serves a…
astro-ph.IM2024
Spacecraft inertial parameters estimation using time series clustering and reinforcement learning
Konstantinos Platanitis, Miguel Arana-Catania, Leonardo Capicchiano +2
This paper presents a machine learning approach to estimate the inertial parameters of a spacecraft in cases when those change during operations, e.g. multiple deployments of paylo…
astro-ph.IM2024
Autonomous Robotic Arm Manipulation for Planetary Missions using Causal Machine Learning
C. McDonnell, M. Arana-Catania, S. Upadhyay
Autonomous robotic arm manipulators have the potential to make planetary exploration and in-situ resource utilization missions more time efficient and productive, as the manipulato…