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Hello, I'm Raffaello
Ph.D. in Automation Engineering
I was born in 1986 and I live in Rome, Italy. I've long experience in robotics, from academic carrier and for passion. I've a strong background in control theory and robotics application, with different skill in project and design. raffaello@rnext.it
Education
Bachelor
Degree
University of Rome, "La Sapienza" 2006 – 2009
BSc in Automation and System Engineering
Thesis: Design and Realization of an autonomous mobile platform
Tutor: Prof. Salvatore Monaco, DIAG, La Sapienza
Value: 107/110
ITA - Bachelor thesis
Master
Degree
University of Rome "La Sapienza" 2009 – 2012
MSc in System and Control Engineering
Thesis: An autonomous mobile platform in an "Augmented reality" environment
Tutor: Prof. Salvatore Monaco, DIAG, La Sapienza
Value: 110 cum laude/110
ITA - Master thesis
PhD
Double PhD in Automation and Operative Research 2012-2016 between
University of Rome "La Sapienza" - Italy
&
L2S, Supélec, Université Paris Sud XI - France
Thesis: Non linear sampled-data for mobile robotics
Italian tutor: Prof. Salvatore Monaco, DIAG, Sapienza
French tutor: Prof. Dorothee Normand-Cyrot L2S, Supélec
ENG - Ph.D. Thesis
Skills
Technical
During my university career I have acquired knowledge in engineering, with more interest in the field of control engineering, using the techniques of control for linear systems such summary trial, root locus, assignment of eigenvalues, synthesis of robust controllers. For systems of nonlinear control technique of Dynamic feedback linearization, backstepping.
Computer
Use of software in the control and engineering design e.g. Matlab & Simulink; Multiphisics programs such as Comsol. Mechanical modeling: Solidworks, SolidEdge. Use of Microsoft Windows operating systems, Mac OS, Linux Ubuntu. Knowledge of software ROS (Robot Operating System). Using the 3D printer uPrint SE
Programming
C/C++, C embedded, Java, Matlab, Assembler, Basic, JavaScript, Jquery, JSON, HTML, HTML 5, CSS, CSS3, sql, php, LATEX, UMLHardware
Microchip micros series PIC16F e PIC18F 8bit, dsPIC 16bit and Arduino. Linux Embedded ARM board: FoxBoard, Aria, Arietta, BeagleBone Black, CubieBoard v2, Intel Galileo, EDISON, NVIDIA Jetson TK1 & TX1. Oscilloscopes, tester, function generator Tektronix.Software
Matlab & Simulink, Comsol, Solidworks, SolidEdge, Eagle, VMware, R.O.S. (Robot Operative System).Certifications
- Deep Learning Specialization by Deeplearning.ai on Coursera Certificate earned April 9, 2018 (100%)
- Neural Networks and Deep Learning. Certificate earned on September 04, 2017 (100%)
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Certificate earned on September 23, 2017 (100%)
- Structuring Machine Learning Projects. Certificate earned on October 22, 2017 (100%)
- Convolutional Neural Networks. Certificate earned on January 04, 2018 (100%)
- Sequence Models. Certificate earned at Monday, April 9, 2018 9:47 AM GMT (100%)
- Machine Learning by Stanford University on Coursera. Certificate earned on May 9, 2017
- Unmanned Aerial Vehicles by SIDRA. Certificate earned on July 2014
- Introduction to the Analysis and Control of Nonlinear Systems by SIDRA. Certificate earned on July 2014
- Robust Hybrid Control system by EECI - European Embedded Control Institute. Certificate earned on May 2013
- Distribuited control by EECI - European Embedded Control Institute. Certificate earned on May 2013
- 16-bit Standard peripherals and Programming using C30 by Microchip. Certificate earned on March 2009
Licensed of engineer in Italy
Experience
Last featured experiences:
NTT DATA
Employment: March 2017 - Now
Current city: Tokyo, Japan
Position: Robotics Engineer
Roles and Responsibilities:
- International project in Autonomous vehicles (Tokyo, Japan) - [September 2017, Now]
- Design and setup autonomous vehicles
- ROS integration and application with Autoware
- Develop robotic services in automotive environments
- DICT laboratory for ENEL SpA (Rome, Italy) - [March 2017, September 2017]
- IoT research and scouting products in domestic and industrial environments
- IoT analysis and design for new products
- Control theory and cost optimisation
IIT
Istituto Italiano di Tecnologia
Employment: Oct 2014 – March 2015
City: Genova, Italy
Position: Stage
Roles and Responsibilities:
A Collaboration for european project called CoDyCo. Analysis of the phenomena of friction on brushless motors of the humanoid robot iCub. Development of a program on Matlab to estimate the phenomena of friction.
Reference: Prof. Francesco Nori and Daniele Pucci
Click the button to read the complete list of all working experiences
Awards
NVIDIA Jeston Champs
Offers inventive solutions to engineering problems, guidance on tricky mechanical issues and tutorials that help people of all ages learn the skills to build professional-quality robots.
Contribution of mobility
Jun 2013 - Université Franco Italienne (UFI)
Contribution of mobility on joint program between the university of Rome "La Sapienza" and The Université Paris Sud (Paris XI) for the Thesis on: [FRA] "Applications de l'automatique non linéaire échantillonnée à la robotique mobile" - [ENG] "Non linear sampled-data control for mobile robotics"
Excellent graduated "Sapienza" - 2011/2012
Best thesis and course of study in Master degree of System and control theory engineering with Ms Thesis: "An autonomous mobile platform in an "Augmented reality" environment"
Ph.D. Scholarship
Oct 2012 - Università degli Studi di Roma 'La Sapienza' Ph.D. Scholarship in Italy for research and university studies on thesis: [ITA]"Applicazioni dell'automatica non lineare a segnali campionati alla movimentazione robotica" - [ENG] "Non linear sampled-data for mobile robotics"Presentations
Last featured presentation:
GPU Technology Conference Europe 2017
October 11th - 13th, 2017 - Exhibition robots Panther in NVIDIA booth.
Munich, Germany. Max-Joseph-Straße 5, 80333 München, Germania
Click the button to read the complete list of all presentations
Research
Last featured publication:
Robot augmented reality
Abstract:The idea is to allow the robot to interact with obstacles that are not really present in the environment, but have been drawn from an external operator. The robot uses different control techniques to navigate in an environment where there are both real obstacles and therefore with the need to avoid the obstacles and with the use of planners treated in the previous part of building a trajectory is capable of avoiding obstacles really exist in the environment and “drawn” and therefore virtual.
This technique is useful in the testing phase and staff training, thus giving the opportunity to try to drive a robot which will operate in hard environments, but just have turn on the robot and can test the behavior and see how the robot performs in a simulated environment.
Raffaello Bonghi
Poster presented In 2nd GPU Technology Conference Europe, Munich, Germany, Internationales Congress Center München, 10-12 October 2017.
Robot augment reality
Click the button to read the complete list of all publications.
Interests
Passion for robotics, from design engineering, electronics, computing and control. Organization of various events of amateur robotics, the most significant events are: 2006 during the Eurobot held in Catania. Organization at the FabLab SPQwoRk Rome event Officine Robotiche 2014 and Officine Robotiche 2015.
Manager of the websites of non-vocational:
Founder and Vice President of Officine Robotiche a NO PROFIT association works to diffuse robotics in Italy and other.
Minisumo.net is the official website in Italy for minisumo competition.
This forum was born during my first year of Automatic engineering (2006) . Now is the official forum for the DIAG department.
Sports: basketball, snowboarding and billiards, with the interest in windsurfing and football.
Looking to interview potential team members?
Curriculum Vitae
Curriculum vitae (extended version)
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