Simone Angarano

Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37th cycle (2021-2024)
Department of Electronics and Telecommunications (DET)



Research topic

Optimized Deep Learning models for Robot Perception and Control


Research presentation

Video presentation


Research interests

Big Data, Machine Learning, Neural Networks and Data Science
Mechatronics and robotics


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.



Master of Science

MostraNascondi A.A. passati


Latest publications View all publications in Porto@Iris