most citedDeep Reinforcement Learning Policies for Underactuated Satellite Attitude Control

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cs.RO2025

Towards Active Excitation-Based Dynamic Inertia Identification in Satellites

Matteo El-Hariry, Vittorio Franzese, Miguel Olivares-Mendez

This paper presents a comprehensive analysis of how excitation design influences the identification of the inertia properties of rigid nano- and micro-satellites. We simulate nonli…

cs.RO2025★ 1 cited

Deep Reinforcement Learning Policies for Underactuated Satellite Attitude Control

Matteo El Hariry, Andrea Cini, Giacomo Mellone +1

Autonomy is a key challenge for future space exploration endeavours. Deep Reinforcement Learning holds the promises for developing agents able to learn complex behaviours simply by…