Claudio Fantacci

WORK HISTORY

EDUCATION

SKILLS

ABOUT CLAUDIO FANTACCI

I\'m an engineer and a developer with knowledge sharing and problem solving attitudes. I have 6 years experience in recursive Bayesian filtering and software engineering with proven publication track record, including R&D collaboration with Selex ES (Finmeccanica) and a Ph.D. in computer science and automation engineering from University of Florence (Italy). I was recipient of the 2014 Australia Award Endeavour Research Fellowship (granted by the Australian Government, Department of Education) under which I have been an R&D collaborator at the Advanced Signal Processing Group of Curtin University of Technology (Perth, Australia). From January 2016, I\'m a post-doc at the Istituto Italiano di Tecnologia (Genoa, Italy) in the iCub Facility, Humanoid Sensing and Perception, for studying, researching and developing new augmented reality-based visual tracking software for visual servoing tasks for the humanoid robotic platform iCub. I actively contribute to the development of the free and open source software of the Robotology community (https://github.com/robotology) wherein I\'m the maintainer of two libraries (https://github.com/robotology/bayes-filters-lib and https://github.com/robotology/superimpose-mesh-lib) and three iCub applications (https://github.com/robotology/visual-tracking-control). I also contribute to and develop other open source project during my research activities, like OpenCV, GLFW and glew. Main research interests: recursive Bayesian filtering, estimation and tracking (Kalman and Particle filters), visual tracking, augmented-reality, multi-object multi-sensor tracking using classic and Random Finite Set approach (PHD, CPHD, Labeled Multi-Bernoulli filters), distributed information fusion. Specialities: C/C++, MATLAB/Simulink, Git, CMake, OpenCV, OpenGL, Python, Java.