I'm a PhD Fellow in IIT since January 2013. I'm working in the Biomedical Robotics Lab of the Advanced Robotics Department; I took part to the EU FP7 project µRALP (micro-technologies and systems for Robot-Assisted Laser Phonomicrosurgery) and, particularly, I worked on the software and hardware interface.
Ph.D. in Robotics, Cognition and Interaction Technologies
January 2013 - April 2016: Università di Genova
The thesis is about the introduction of haptics in laser microsurgery.
M.Sc. in Electronic Engineering (110/110 cum laude)
2010 - 2012: Università Politecnica delle Marche (Ancona, Italy)
The thesis was about the design and the building of a robotic biomedical tesrig for autonomous investigation on haptics. It involved embedded electronics, robot driving, interface developing.
B.Sc. in Electronic Engineering (110/110 cum laude)
2007 - 2010: Università Politecnica delle Marche (Ancona, Italy)
The thesis was about the design of a microwave polarizer in x-band.
I was born in 1988 in San Benedetto del Tronto (in the center-East of Italy). I lived there for all my youth discovering my love for computer and programming. I chose Electronical Engineering in the close university of Ancona because I really wanted to know in deep how computers and electronics in general work. Then, during the last year of university, I looked at medical robotics as an important application of my knowledge. I worked on it for the thesis of my master and then applied for this PhD on Human-Robot Interaction.
L. Fichera, C. Pacchierotti, E. Olivieri, D. Prattichizzo, and L. S. Mattos, "Kinesthetic and vibrotactile haptic feedback improves the performance of laser microsurgery," in Haptics Symposium (HAPTICS). April 2016, [ACCEPTED].
G. Barresi, E. Olivieri, D.G. Caldwell, L.S. Mattos, "Brain-Controlled AR Feedback Design for User's Training in Surgical HRI". In 2015 IEEE International Conference on Systems, Man and Cybernetics (SMC), October 2015.
E. Olivieri, G. Barresi, L.S. Mattos "BCI-based User Training in Surgical Robotics", in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 2015.
F. Cannella, L. Scalise, E. Olivieri, M. Memeo, D.G. Caldwell - Dynamic Investigation Test-rig on hAptics (DITA). In Journal of Physics: Conference Series (Vol. 459, No. 1, p. 012032). IOP Publishing. September 2013.
E. Olivieri, L.S. Mattos "Comparative Study of Haptic Libraries Performances for Deforming Objects". In Proceedings of the 5th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (CRAS 2015). September 2015.
E. Olivieri, L.S. Mattos "A New ROS Interfaced Haptic Library with an Example of Application". In Proceedings of the 4th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (CRAS 2014). October 2014.
E. Olivieri, A. Schoob, L.A. Kahrs, L.S. Mattos "Haptic shape perception of 3-D reconstructed surface for laser surgery". In Workshop on Robotic Microsurgery and Image-Guided Surgical Interventions at the 2014 IEEE International Conference on Biomedical Robotics and Biomechatronic (BioRob 2014). August 2014.
International Patent Application PCT/IB2014/066127; L.S. Mattos, E. Olivieri, D.G. Caldwell - Distal scanning module, in particular to control the aiming and the movement of an optical apparatus of a medical device, such as a diagnostic or surgical instrument; international filing date November 18, 2014; claiming priority to the Italian Patent Application TO2013000943; priority filing date November 20, 2013.
µRALP was a 3-year STREP project funded under the European Commission's 7th Framework Programme. It addresses the FP7-ICT-2011-7 call for cognitive and robotic systems operating in real-world environments. µRALP's consortium is composed of 5 institutions from 3 different European countries: Italy, France and Germany. I took part from January 2013 to March 2015 as interface designer.
Open Source C++ Library for research on haptics.
RESHL is a collection of Linux software used to interact with pen-master based haptic devices. Its name, ROS-Enhanced Scalable Haptic Library, describes all its main features: