Former researcher
Department of Electronics and Telecommunications (DET)
Teaching
Teachings
Master of Science
- Electronic systems for mechatronics. A.A. 2024/25, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Electronics Fundamentals and Applications. A.A. 2024/25, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Electronic systems for mechatronics. A.A. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Electronics Fundamentals and Applications. A.A. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Electronic systems for mechatronics. A.A. 2021/22, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Angarano, Simone (2025)
Efficient and Robust Deep Learning for Robotics. relatore: CHIABERGE, MARCELLO; , 37. XXXVII Ciclo, P.: 356
Doctoral Thesis - Navone, Alessandro; Romanelli, Fabrizio; Ambrosio, Marco; Martini, Mauro; Angarano, ... (2025)
Lavender autonomous navigation with semantic segmentation at the edge. In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2023, Torino (Ita), September 18–22, 2023, pp. 280-291. ISSN 1865-0937. ISBN: 978-3-031-74633-8
Contributo in Atti di Convegno (Proceeding) - Navone, Alessandro; Martini, Mauro; Ambrosio, Marco; Ostuni, Andrea; Angarano, Simone; ... (2025)
GPS-free autonomous navigation in cluttered tree rows with deep semantic segmentation. In: ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 183. ISSN 0921-8890
Contributo su Rivista - Cerrato, Simone; Mazzia, Vittorio; Salvetti, Francesco; Martini, Mauro; Angarano, ... (2024)
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops. In: IEEE ACCESS, vol. 12, pp. 138306-138318. ISSN 2169-3536
Contributo su Rivista - Magli, E; Angarano, S.; Bassetti, S.; Bianchi, T.; Boccardo, P.; Bucci, S.; Chiaberge, ... (2024)
A multi-service edge-AI architecture based on self-supervised learning. In: 75th International Astronautical Congress, Milan (Ita), 14-18 October 2024, pp. 1-9
Contributo in Atti di Convegno (Proceeding)