2 citations · 4 across the 7 of their papers we have counts for
5 papers · 1 filter
MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation
Mahya Ramezani, M. Amin Alandihallaj, Barış Can 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…
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-…
Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay
Mahya Ramezani, Jose Luis Sanchez-Lopez
The integration of Unmanned Aerial Vehicles (UAVs) into Search and Rescue (SAR) missions presents a promising avenue for enhancing operational efficiency and effectiveness. However…
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…