Francesco Salvetti

PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 35^th cycle (2019-2022)
Department of Electronics and Telecommunications (DET)

francesco.salvetti@polito.it

Profile

PhD

Thesis title

Machine Learning Algorithms for Robotic Navigation and Perception and Embedded Implementation Techniques

Research topic

Machine-Learning Based Optimization of Navigation Algorithms and embedded implementation techniques

Tutors

Research presentation

Video presentation

Research interests

Big Data, Machine Learning, Neural Networks and Data Science

Mechatronics and robotics

Biography

PhD student in Electrical, Electronics and Communications Engineering in collaboration with the two interdipartimental centres Smart Data and PIC4SeR. He received his Master’s Degree in Mechatronics Engineering in 2019 at Politecnico di Torino. He is currently working on Machine Learning applied to Computer Vision and Image Processing in robotics applications.

Teaching

Teachings

Master of Science

Electronic systems for mechatronics. A.A. 2019/20, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronic systems for mechatronics. A.A. 2020/21, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronic systems for mechatronics. A.A. 2021/22, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Challenge@PoliTo by Students - Artificial Intelligence: Shape the future. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

MostraNascondi A.A. passati

Publications

Latest publications View all publications in Porto@Iris

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. 123B. 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)
Marchionna, Luca; Pugliese, Giulio; Martini, Mauro; Angarano, Simone; Salvetti, ... (2023)
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System. In: SENSORS, vol. 32. ISSN 1424-8220
Contributo su Rivista
Martini, Mauro; Cerrato, Simone; Salvetti, Francesco; Angarano, Simone; Chiaberge, ... (2022)
Position-agnostic autonomous navigation in vineyards with Deep Reinforcement Learning. In: 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), Mexico City (Mexico), August 20-24, 2022, pp. 477-484. ISSN 2161-8070. ISBN: 978-1-6654-9042-9
Contributo in Atti di Convegno (Proceeding)
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