Dottorato in Ingegneria Informatica E Dei Sistemi , 37o ciclo (2021-2024)
Dottorato concluso nel 2026
Tesi:
Guidance, Navigation, and Control Techniques for Service Robotics (Abstract)
Tutori:
Marcello Chiaberge
Presentazione della ricerca:
PosterProfilo
Argomento di ricerca
Ottimizzazione GNC per la Robotica di Servizio.
Interessi di ricerca
Biografia
La sua ricerca attuale si concentra sul miglioramento del modello Twin Delayed Deep Deterministic Policy Gradient (TD3) per migliorare l'adattabilità e l'efficienza della navigazione robotica in ambienti non visti attraverso meccanismi di punti di partenza e obiettivo casuali. Ha presentato in conferenze internazionali e ha partecipato a diversi progetti, tra cui la navigazione avanzata per robot Jackal nel contesto del framework ROS e varie iniziative aerospaziali. Romisaa è impegnata a potenziare le capacità dei sistemi robotici intelligenti.
Premi e riconoscimenti
- Publication Award – Robotics Journal (2025): Published article on adaptive robot navigation using randomized goal selection and TD3 in Robotics, Volume 14, Issue 4. (2025)
- Doctoral Consortium Participation – AIxIA 2023: Attended the Doctoral Consortium at the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA), held in Rome, 6–9 November 2023. (2024)
- 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)
- 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)
- ACCEPTANCE AND INVITATION LETTER FOR CONFERENCE PARTICIPATION (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)
- 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)
- CERTIFICATE OF ATTENDANCE AND PRESENTATION: Conference: Robot Motion Control and Automation, January 2023 in Rome. (2023)
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Ali Mouhamed Ali, Romisaa (2026)
Guidance, Navigation, and Control Techniques for Service Robotics. relatore: CHIABERGE, MARCELLO; , 37. XXXVII Ciclo, P.: 73
Doctoral Thesis - 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, vol. 14. ISSN 2218-6581
Contributo su Rivista - Ali, Romisaa; Dogru, Sedat; Marques, Lino; Chiaberge, Marcello (2025)
Performance Evaluation of Move Base Integration with Deep Reinforcement Learning for Autonomous Robot Navigation. In: 12th European Conference on Mobile Robots (ECMR 2025), Padua (ITA), September 02–05, 2025. ISBN: 979-8-3315-2705-1
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, 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 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)