Europass Curriculum Vitae



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Europass Curriculum Vitae Personal information Surname(s) / First name(s) Address(es) 1700 Benjamin Franklin parkway 19103 Philadelphia Telephone(s) +12155000910 USA 3296352044 Italian +46765830733 Swedish +41786757292 Swiss Email(s) loiannog@seas.upenn.edu giuseppe.loianno@unina.it loianno@kth.se Nationality(-ies) Italian Date of birth 11/03/1985 Gender Male Website http://wpage.unina.it/giuseppe.loianno Education Primary School École française de Naples (French School in Naples). Exams for the italian school obtained at Tito Livio school Brevet des Collèges (French school) obtained at Lycée Chateaubriand in Rome High School Scientific High school G.Mercalli in Naples: Final Grade 100/100 Part of the French Baccalauréat obtained at Lycée Chateaubriand of Rome Other Graduations Delf/Dalf (Diplome d études en Langue Française) obtained at École Francaise de Naples English graduation of studies at American Studies Center in Naples Participation at the regional session of Physics Olympic games German courses at Goethe Institut Naples Page 1 / 6 - Curriculum vitæ of

University Education Ph.D. in Robotics February-March 2014 Laurea Specialistica (Master) in automation engineering obtained in February 2010 at Università degli Studi di Napoli Federico II Admitted in the doctoral programs Robotics and Manufacturing Systems - Electrical engineering at EPFL Involved as Ph.D student in the EU-FP7 project AIRobots in vision and control part. www.airobots.eu Completed Studies Laurea Specialistica (Master) in automation engineering obtained in February 2010 at Università degli Studi di Napoli Federico II 2004 2007: Bachelor (Laurea Triennale) in Automation Engineering Grade 110/110 cum laude Thesis: Grasping Problems in Robotics advisors Prof. Bruno Siciliano, Prof. Luigi Villani 2007 2009: Master Program (Laurea Specialistica) in Automation Engineering Grade 110/110 cum laude Thesis: Control of Micro Aerial Vehicles using a Vision System based on Optical Flow advisors Prof. Bruno Siciliano, Prof. Roland Siegwart, Dr. Davide Scaramuzza Master Thesis in Control and Aerial Robotics at ETH (Swiss Federal Institute of Technology Zürich) in the ASL (Autonomous System Lab) Prof. Roland Siegwart, for a period of 6 months Scientific Activity Courses in Control and Automation Fundamentals of Automation, Systems Theory, Signal Theory, Automatic Control 1, Automatic Control 2, Digital Control, Robot Control, Optimization, Advanced Robotics (including Vision), Nonlinear Control 1, Nonlinear Control 2, Industrial Automation, Technology of Automatic Systems and Control, Computer Vision, Machine Perception Summer Schools, Doctoral Courses and Conferences Attended CogSys Conference January 2010 Zürich Summer School SIDRA July 2010 Bertinoro Italy Summer School on Micro Aerial Vehicles July 2011 Zürich BRICS research camp November 2011 IEEE International Conference on Decision and Control, Orlando, Florida, USA December 2011 Review Meetings AIRobots project Enschede, The Netherlands 2011 and Bologna, Italy 2012 Summer School SIDRA July 2011 Bertinoro Italy Robust Control Game Theory and Analysis of Competitive Dynamics for Industrial Systems Summer School SIDRA July 2012 Bertinoro Italy Page 2 / 6 - Curriculum vitæ of

Conference and Journal Revisions IEEE Transactions on Control Systems Technology IEEE Robotics and Automation Magazine IEEE/RSJ Conference on Intelligent Robots and Systems 2011 IEEE Conference on Decision and Control 2012 ISER International Symposium on Experimental Robotics IEEE DCOSS International Conference on Distributed Computing in Sensor Systems 2012 IEEE/RSJ Conference on Intelligent Robots and Systems 2013 Journal of Field Robotics IEEE/ICRA International Conference on Robotics and Automation 2014 International Conference on Computer Vision Theory and Applications 2011 International Journal of Robotics Research 2013 International Experiences and Internships August 2008 to March 2009: Exchange Period of 8 months in Sweden at KTH (Kungliga Tekniska Hogskolan) September 2009 to March 2010: Internship and Master Thesis for 6 months at ETH Zürich (Swiss Federal Institute of Technology Zürich) August 2012 Exchange Period as Ph.D in Sweden at KTH (Kungliga Tekniska Hogskolan) in the Automtic Control Laboratory From April 2013 Ph.D student and visiting associate at the Grasp Lab University of Pennsylvania under the supervision of Prof. Dr. Vijay Kumar holding a BAE systems fellowship. Computer Science Knowledge Computer Program abilities Very good knowledge of MATLAB/Simulink, C/C++ Good knowledge of the following languages and programs: Word, PowerPoint, Excel, Comsol Multiphysics, Embedded Systems, PLC Excellent knowledge of the following operating systems, middle-ware, libraries and hardware devices: Windows, Ubuntu, MacOs, ROS, OpenCV, TooN, Vicon, Optitrack Mother tongue(s) Italian Self-assessment Understanding Speaking Writing European level (*) Listening Reading Spoken interaction Spoken production Page 3 / 6 - Curriculum vitæ of

English Extra Curricular Activities C2 C2 C1 C1 C2 C2 C2 C2 C2 C2 French German A2 Basic A2 Basic A2 Basic A2 Basic A2 Basic Hobbies (*) Common European Framework of Reference (CEF) level Travel and be in Contact with new Cultures, Ideas Wine Tasting Parties Sport Skiing Play Cards and Videogames Research Activities Giuseppe Loianno s activities focus on the development of new sensor fusion algorithms, visual environment reconstruction and visual control for micro aerial vehicles (MAVs) in industrial environments. The aim of sensor fusion is to try to combine heterogeneous sensors, in terms of speed and different information provided, like Inertial sensors (IMU), Cameras and eventually GPS if available. The main objectives is to obtain information about scale factor estimation using single camera systems and localize the vehicle in unstructured environments, especially where GPS signal lacks, both for single and stereo camera configurations. Camera sensors are needed to extract characteristic landmarks in the environments, trying to reconstruct vehicle s motion and 3D environment structure. These sensors are slow for control applications requiring a big computational time to extract vehicle s motion measurements, especially in the stereo case. Thus, it is necessary to couple them to other sensor sources like IMU and eventually GPS if available to speed up the whole localization process satisfying control time constraints. In indoor environments, but in a limited space and for dedicated applications, previous problems can be even solved by the use of motion capture systems like Vicon and Optitrack. In the monocular case the proposed problem has been solved using the combination of different landmarks with IMU measurements to obtain a closed form solution for scale factor estimation. An environment high level map has been realized for supervisory control. Actually sensor fusion techniques based on Kalman filter and Pareto Optimization have been implemented, tested and will be in few weeks submitted for a publication. Finally last part of Ph.D. will focus on the development of control techniques to stabilize the vehicle, more in general to enable vehicle s navigation and on reconstruction based on RGB-D sensors. Page 4 / 6 - Curriculum vitæ of

Book Chapters J. Cacace, A. Finzi, V. Lippiello, G. LOIANNO, and D. Sanzone, Aerial Service Vehicles for Industrial Inspection: Task Decomposition and Plan Execution, Lecture Notes in Artificial Intelligence, Springer-Verlag, Heidelberg, Germany, 2013. Publications International Journal Papers J. Cacace, A. Finzi, V. Lippiello, G. LOIANNO, and D. Sanzone, Aerial Service Vehicles for Industrial Inspection: Task Decomposition and Plan Execution, Applied Intelligence, Springer, 2014, Accepted with minor revision. Page 5 / 6 - Curriculum vitæ of

International Conference Papers and Workshops V. Lippiello, G. LOIANNO and B. Siciliano MAV Indoor Navigation Based on a Closed-Form Solution for Absolute Scale Velocity Estimation Using Optical Flow and Inertial Data IEEE International conference on Decision and Control December 2011 Orlando Florida V. Lippiello, G. LOIANNO and B. Siciliano MAV Indoor Obstacles Avoidance Based on the Online Computation of the Absolute Depth Map Using Optical Flow and Inertial Data Accepted to: IFAC SYROCO International Symposium on Robot Control September 2012 Dubrovnik Croatia J. Cacace, A. Finzi, V. Lippiello, G. LOIANNO, and D. Sanzone, Aerial Service Vehicles for Industrial Inspection: Task Decomposition and Plan Execution, 26th International Conference on Industrial, Engineering and other Applications of Applied Intelligent Systems, Amsterdam, The Netherlands, 2013. Nomination for Best paper J. Cacace, A. Finzi, V. Lippiello, G. LOIANNO, and D. Sanzone, Integrated Planning and Execution for an Aerial Service Vehicle, 23th International Conference on Automated Planning and Scheduling, Workshop on Planning and Robotics, Rome, Italy, June 2013. J. Thomas, J. Polin, G. LOIANNO, K. Sreenath, and V. Kumar, Avian-Inspired Grasping for Quadrotor MAVs, RSS Robotics Science and Systems Conference, Workshop on Aerial Mobile Manipulation, 24-28 June 2013, Berlin, Germany. F. Cordella, F. Di Corato, G. LOIANNO, L. Zollo and B. Siciliano, Robust Pose Estimation Algorithm for Wrist Motion Tracking, IEEE/RSJ Conference on Intelligent Robots and Systems, 3-7 November 2013, Tokyo, Japan. G. LOIANNO, V. Lippiello, C. Fischione and B. Siciliano, Visual and Inertial Multi-Rate Data Fusion for Motion Estimation via Pareto-Optimization, IEEE/RSJ Conference on Intelligent Robots and Systems, 3-7 November 2013, Tokyo, Japan. G. LOIANNO, Justin Thomas, Kartik Mohta, Koushil Sreenath, and Vijay Kumar, From autonomous grasping and navigation to cooperative localization for micro aerial vehicles, IEEE/RSJ Conference on Intelligent Robots and Systems, Workshop From Remotely-Controlled to Autonomous Collaborative Robots, 3-7 November 2013, Tokyo, Japan. G. LOIANNO, Justin Thomas, Kartik Mohta, Shaojie Shen, Koushil Sreenath, and Vijay Kumar, Vision based navigation, grasping and localization for micro aerial vehicles, IEEE/RSJ Conference on Intelligent Robots and Systems, Workshop Vision-based Closed-Loop Control and Navigation of Micro Helicopters in GPS-denied Environments, 3-7 November 2013, Tokyo, Japan. G. LOIANNO, V. Lippiello, and B. Siciliano, Fast Localization and 3D Mapping using a RGB-D Sensor, IEEE International Conference on Advanced Robotics, 25-29 November 2013, Montevideo, Uruguay. J. Thomas, G. LOIANNO, K. Sreenath, and V. Kumar, Toward Image Based Visual Servoing for Aerial Grasping and Perching, IEEE/ICRA International Conference on Robotics and Automation, 31 May-7 June 2014, Hong Kong, China. Page 6 / 6 - Curriculum vitæ of