Ph.D. candidate
in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37th cycle (2021-2024)
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Optimized Deep Learning models for Robot Perception and Control
Tutors
Research presentation
Research interests
Biography
Teaching
Teachings
Master of Science
- 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
- Navone, Alessandro; Martini, Mauro; Ostuni, Andrea; Angarano, Simone; Chiaberge, Marcello (2023)
Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation. In: 2023 European Conference on Mobile Robots (ECMR), Coimbra, Portugal, 04-07 September 2023, pp. 1-6. ISBN: 979-8-3503-0704-7
Contributo in Atti di Convegno (Proceeding) - Navone, Alessandro; Martini, Mauro; Angarano, Simone; Chiaberge, Marcello (2023)
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network. In: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-30 August 2023, pp. 1-6. ISBN: 979-8-3503-2069-5
Contributo in Atti di Convegno (Proceeding) - Angarano, Simone; Salvetti, Francesco; Martini, Mauro; Chiaberge, Marcello (2023)
Generative Adversarial Super-Resolution at the edge with knowledge distillation. In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 123 B. ISSN 0952-1976
Contributo su Rivista - Salvetti, Francesco; Angarano, Simone; Martini, Mauro; Cerrato, Simone; Chiaberge, ... (2023)
Waypoint Generation in Row-Based Crops with Deep Learning and Contrastive Clustering. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022, Grenoble (France), September 19–23, 2022, pp. 203-218. ISSN 1611-3349. ISBN: 978-3-031-26422-1
Contributo in Atti di Convegno (Proceeding)