Assistant professor at Department of Industrial Engineering of University of Trento
My research is now focused on applying machine/deep learning techniques to applied mechanics and control theory. In particular, I study advanced control and modeling tools for mechanical systems exploring the use of neural networks. Thanks to my experience as an automation engineer, I am now looking to merge these fields of study, taking the most interesting peculiarities from them. On the one hand, model-based control theory with established principles, and on the other hand, the adaptability of machine learning tools such as neural networks. The aim is to obtain self-learning control strategies based on the ascertained knowledge of the model.
Presentation of my research, an HTML presentation of my research activities.
Vehicles dynamics, planning and control of robotic cars, The objective of the course is to develop and validate, in simulation, an autonomous driving system.
Dynamics and control of vehicles and robots, The goal of this course is to teach the student how to model vehicle systems and sub-systems to study/optimise vehicle dynamics, design low-level control systems, the techniques for trajectory plannings, and intelligent vehicle architectures.
Dreams4Cars, an European project focused on developing an autonomous agent taking inspiration from the human-brain and dreams.
My PhD at the Scuola Superiore Sant'Anna were focused on developing models and control systems for Electroactive Polymers for the exploitation of ocean wave energy and control theory in the research field relating to Human-Robot Interaction. The main projects were:
Co-founder of Cheros s.r.l. spinoff of Scuola Superiore Sant'Anna:
Manager and backend developer for QatHome, a queue manager system for small and huge business enterprises;
Researcher for Inflatable Dielectric Elastomer Generator - PTO Project, an Wave Energy Scotland project that has the aims to further develop a breakthrough technology for the conversion of ocean wave energy into electricity through the use of electrostatic or dielectric elastomer generators.
antruling.com: a web application with Django and jQuery.
wall2me.com: a web application in nodejs
PyNet: a didactic framework for deep learning in Python and numpy.
Gastone `tonegas` Pietro Rosati Papini - last updated on