Robotics and Industry 4.0
Ferdinando Cannella received his first PhD (University of Padua) in 2002 in “Mechanical Measurement applied to Engineering” with Thesis “Optical Measurement of strain: Application on Timing Belt” and his second PhD (Polytechnic University of Marche) in 2006 in “Mechanical Engineering” with Thesis “Stiffness Modelling and Kinematic Analysis of Carton Handling and Manipulation with a Reconfigurable Mechanism using Numerical Simulation”.
He has long and wide experience in using the Computer-Aided Engineering tools for Co-Simulation (Multi-body, Finite Element and Control) to investigate and to develop new robotic grippers or robotic manipulator systems or packaging mechanisms exploiting the bio-inspiration models.
From 1998 to 2008 he taught Finite Element Model applied to dynamics embedded in the Course “Mechanics of Vibrations” and from 2005 he has been the tutor of the students.
From January 2005 he has been working at King’s College of London, University of London as Post-doctor Visiting Researcher in the ARCHAPS (Automatic Reconfigurable Confectionary Handling and Packaging System) project. The aim of this collaboration is to improve the knowledge in carton crease behavior and folding reconfigurable mechanisms.
He joined on 2008 to Advanced Robotics Department lead by Prof. Darwin Caldwell at the Italian Institute of Technology: the topic is the Flexible Multi-Body Simulations applied to the development of Robot Manipulators, Packaging and Biomedical Devices.
From 2015 he is head of Advanced Industrial Automation Lab and he works in several projects focused in Industrial Automation with EU funding as AutoRECON and EuroC or with several companies as GE AVIO, Tetra Pak, Fameccanica, Novacart, Luxottica, etc.
The main topics are:
– robotic grasping applied to the industrial manufacturing;
– elasticity in robotic manipulators;
– reconfigurable mechanisms;
– numerical models of robotic systems.
All the four research topics mentioned above are initially approached by analytical techniques using numerical ones as multi-body simulations and finite element model.
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