Simone Angarano

Titolo della tesi

Efficient and Robust Deep Learning for Robotics

Argomento di ricerca

Optimized Deep Learning models for Robot Perception and Control

Tutori

• Marcello Chiaberge

Presentazione della ricerca

Presentazione video

Poster

Corso di laurea magistrale

• 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

• 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
• Angarano, Simone; Martini, Mauro; Navone, Alessandro; Chiaberge, Marcello (2024)
  Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Seattle, WA (USA), 17-18 June 2024, pp. 5450-5459. ISBN: 979-8-3503-6547-4
  Contributo in Atti di Convegno (Proceeding)
• 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)