Simone Angarano

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37^o ciclo (2021-2024)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Profilo

Dottorato di ricerca

Argomento di ricerca

Optimized Deep Learning models for Robot Perception and Control

Tutori

Marcello Chiaberge

Presentazione della ricerca

Presentazione video

Poster

Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science

Mechatronics and robotics

Biografia

Simone Angarano is a Ph.D. student in Electrical, Electronics, and Communications Engineering and a member of the Interdepartmental Center for Service Robotics at Politecnico di Torino (PIC4SeR). At the same university, he achieved a Bachelor's Degree in Electronic Engineering in 2018 and a Master's Degree in Mechatronic Engineering in 2020, presenting the thesis "Deep Learning Methodologies for UWB Ranging Error Compensation". His research focuses on Deep Learning for robotic applications, spanning computer vision, navigation, and control. In his work, particular attention is given to key aspects of real-world applications like generalization and robustness. Moreover, the constraints imposed by the application field in terms of latency and power consumption are always taken into account.

Didattica

Insegnamenti

Corso di laurea magistrale

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

MostraNascondi A.A. passati

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su 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)