M. Amin Alandihallaj — accepted AI-conference papers

2025

MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation

Mahya Ramezani, M. Amin Alandihallaj, Baris Can Yalçin, Miguel Angel Olivares-Méndez, Holger Voos

IROS 2025

This paper presents an integrated Reinforcement Learning (RL) and Model Predictive Control (MPC) framework for autonomous satellite docking with a partially filled fuel tank. Traditional docking control faces challenges due to fuel sloshing in microgravity, which induces unpredictable forces affecti

Cited by 3 Source ↗Scholar ↗

2024

PPO-Based Dynamic Control of Uncertain Floating Platforms in Zero-G Environment

Mahya Ramezani, M. Amin Alandihallaj, Andreas M. Hein

ICRA 2024poster

In the field of space exploration, floating platforms play a crucial role in scientific investigations and technological advancements. However, controlling these platforms in zerogravity environments presents unique challenges, including uncertainties and disturbances. This paper introduces an innov…

Cited by 7 Source ↗Scholar ↗