Romisaa Ali Mouhamed Ali

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37^th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)

romisaa.ali@polito.it

Profile

PhD

Research topic

GNC optimization for Service Robotics.

Tutors

Marcello Chiaberge

Research presentation

Poster

Research interests

Controls and system engineering

Biography

Romisaa Ali Mouhamed Ali is a PhD candidate at Politecnico di Torino specializing in guidance, navigation, and control of robotic systems, particularly in developing adaptable and robust navigation solutions using deep reinforcement learning. Holding a Master’s degree in Electronics Engineering (Communication) from the Sudan University of Science and Technology, Romisaa brings extensive experience in both control and communication systems through her role at Sudan's National Centre for Research (NCR), specifically within the Institute of Space Research and Aerospace (ISRA). During her tenure, she contributed to projects involving drones, satellites, satellite ground station operations, and high-altitude balloons. Her work focused on developing and optimizing control systems and enhancing system performance for aerospace applications.
Her research focuses on enhancing the Twin Delayed Deep Deterministic Policy Gradient (TD3) model to improve robotic adaptability and navigation efficiency in unseen environments through randomized start and goal point mechanisms. She has presented at international conferences and has worked on diverse projects, including advanced navigation for Jackal robots within ROS frameworks and various aerospace initiatives. Romisaa remains dedicated to advancing the capabilities of intelligent robotic systems.

Awards and Honors

This certificate above verifies that Romisaa Ali successfully completed the course Reinforcement Learning beginner to master - AI in Python on 09/20/2022 as taught by Escape Velocity Labs on Udemy. (2022)
CERTIFICATE OF ATTENDANCE AND PRESENTATION: Conference: Robot Motion Control and Automation, January 2023 in Rome. (2023)
This certificate above verifies that Romisaa Ali successfully completed the course Advanced Reinforcement Learning: policy gradient methods on 08/28/2022 as taught by Escape Velocity Labs on Udemy. (2022)
Completed by ROMISAA ALI MOUHAMED ALI August 10, 2022 4-6 hours/week Grade Achieved: 97.72% ROMISAA ALI MOUHAMED ALI's account is verified. Coursera certifies their successful completion of Fundamentals of Reinforcement Learning (2022)
ACCEPTANCE AND INVITATION LETTER FOR CONFERENCE PARTICIPATION (2022)
Completed by ROMISAA ALI MOUHAMED ALI August 8, 2022 2-4 hours/week Grade Achieved: 93.30% ROMISAA ALI MOUHAMED ALI's account is verified. Coursera certifies their successful completion of Programming for Everybody (Getting Started with Python) (2022)

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Publications

Latest publications View all publications in Porto@Iris

Ali, Romisaa; Dogru, Sedat; Marques, Lino; Chiaberge, Marcello (2025)
Adaptive Robot Navigation Using Randomized Goal Selection with Twin Delayed Deep Deterministic Policy Gradient. In: ROBOTICS. ISSN 2218-6581
Contributo su Rivista
Ali, Romisaa (2024)
Optimized GNC Techniques for Service Robotics. In: AIxIA’23: 22nd International Conference of the Italian Association for Artificial Intelligence, Rome (Italy), November 06–07, 2023
Contributo in Atti di Convegno (Proceeding)
Ali, Romisaa (2024)
Robot Exploration and Navigation in Unseen Environments Using Deep Reinforcement Learning. In: Robot Motion Control, December 2023 in Auckland, pp. 619-625. ISSN 2010-376X
Contributo in Atti di Convegno (Proceeding)
ALI MOUHAMED ALI, Romisaa (2023)
Robot Movement Using the Trust Region Policy Optimization. In: ICRMCA 2023: 17. International Conference on Robot Motion Control and Automation January 16-17, 2023 in Rome, Italy, Rome (Italy), pp. 394-399
Contributo in Atti di Convegno (Proceeding)