2 citations · 3 across the 3 of their papers we have counts for
3 papers
Autonomous Orbital Correction for Nano Satellites Using J2 Perturbation and LSTM Networks
Mahya Ramezani, Mohammadamin Alandihallaj, Andreas M. Hein
CubeSats offer a cost-effective platform for various space missions, but their limited fuel capacity and susceptibility to environmental disturbances pose significant challenges fo…
PPO-based Dynamic Control of Uncertain Floating Platforms in the Zero-G Environment
Mahya Ramezani, M. Amin Alandihallaj, Andreas M. Hein
In the field of space exploration, floating platforms play a crucial role in scientific investigations and technological advancements. However, controlling these platforms in zero-…
Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling Based on Energy Consumption
Mahya Ramezani, M. Amin Alandihallaj, Jose Luis Sanchez-Lopez +1
This paper presents a Hierarchical Reinforcement Learning methodology tailored for optimizing CubeSat task scheduling in Low Earth Orbits (LEO). Incorporating a high-level policy f…