Dottorando in Intelligenza Artificiale , 37o ciclo (2021-2024)
Dipartimento di Automatica e Informatica (DAUIN)
Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)
Profilo
Dottorato di ricerca
Tutori
- Tatiana Tommasi
- Jan Peters
Didattica
Insegnamenti
Corso di laurea magistrale
- Robot Learning. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Machine learning and Deep learning. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Advanced Machine Learning. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Tiboni, Gabriele; Protopapa, Andrea; Tommasi, Tatiana; Averta, Giuseppe (2023)
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots. In: International conference on intelligent robots and systems (IROS), Detroit (USA), 01-05 October 2023, pp. 612-619. ISBN: 978-1-6654-9190-7
Contributo in Atti di Convegno (Proceeding) - Tiboni, Gabriele; Camoriano, Raffaello; Tommasi, Tatiana (2023)
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. In: International conference on intelligent robots and systems (IROS), Detroit (USA), 01-05 October 2023, pp. 3857-3864. ISBN: 978-1-6654-9190-7
Contributo in Atti di Convegno (Proceeding) - Capuano, Francesco; Peceli, Davorin; Tiboni, Gabriele; Camoriano, Raffaello; Rus, Bedrich (2023)
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning. In: SPIE OPTICS + OPTOELECTRONICS, Prague (Czech Republic), 24-28 April 2023
Contributo in Atti di Convegno (Proceeding) - Tiboni, Gabriele; Arndt, Karol; Kyrki, Ville (2023)
DROPO: Sim-to-real transfer with offline domain randomization. In: ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 166. ISSN 0921-8890
Contributo su Rivista - Tiboni, Gabriele; Arndt, Karol; Averta, Giuseppe; Kyrki, Ville; Tommasi, Tatiana (2023)
Online vs. Offline Adaptive Domain Randomization Benchmark. In: Human-Friendly Robotics 2022 - HFR; 15th International Workshop on Human Friendly Robotics, Delft (The Netherlands), 22- 23 September 2022, pp. 158-173. ISBN: 978-3-031-22730-1
Contributo in Atti di Convegno (Proceeding)