4 papers
MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation
Mahya Ramezani, M. Amin Alandihallaj, BarıŠCan Yalçın +2
This paper presents an integrated Reinforcement Learning (RL) and Model Predictive Control (MPC) framework for autonomous satellite docking with a partially filled fuel tank. Tradi…
Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning
Gaurav Shetty, Mahya Ramezani, Hamed Habibi +2
This paper investigates the application of Deep Reinforcement (DRL) Learning to address motion control challenges in drones for additive manufacturing (AM). Drone-based additive ma…
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…
Exploring Human's Gender Perception and Bias toward Non-Humanoid Robots
Mahya Ramezani, Jose Luis Sanchez-Lopez
In this study, we investigate the human perception of gender and bias toward non-humanoid robots. As robots increasingly integrate into various sectors beyond industry, it is essen…