Philippe Fillatreau
Head of the Mavrics Research Group of the Production Engineering Laboratory of the Enit @Ecole Nationale D\'ingénieurs De Tarbes - Enit
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WORK HISTORY
Head of the Mavrics Research Group of the Production Engineering Laboratory of the Enit @Ecole Nationale D\'ingénieurs De Tarbes - Enit
EDUCATION
ENSEEIHT
Engineer's degree
ABOUT PHILIPPE FILLATREAU
P. Fillatreau graduated from the ENSEEIHT Engineering School in 1988. He obtained his PhD in perception for mobile robotics in 1994 at the LAAS-CNRS Laboratory, Toulouse, France. His PhD works, funded by the Framatome Company, dealt with perception, 3D environment modelling and localization for an autonomous all-terrain mobile robot, in the framework of joint projects dealing with public safety or planetary exploration. In 1991–92 he spent one year at the Matra Marconi Space (now Airbus Group Defence & Space) Company, where he was involved in the european Eureka-AMR project. In 1994–95, he was a post-doctoral visiting researcher at the Department of A.I. of the University of Edinburgh, Scotland; funded by a Human Capital and Mobility fellowship of the European Community, his works dealt with non polyhedral objects recognition and model update for public safety mobile robots. In 1996, Philippe Fillatreau joined the Delta Technologies Sud-Ouest Company (Toulouse) where he was technical head of the computer vision activities. There, he lead industrial projects often related to quality control on production lines and of industrial processes, and research projects in the fields of Computer Vision and Algorithm Architecture Adequacy, aiming at integrating advanced image processing algorithms in smart cameras based on FPGAs for very high throughput applications (e.g. transports safety, on-board satellite images processing or quality control of industrial processes). In 2009, he joined the National Engineering School of Tarbes as a researcher and lecturer. His current research interests are related to Virtual Reality and robotics (interactive Task And Motion Planning - TAMP, ontology-based semantic coupling of TAMP), for the validation of complex tasks / scenarios), Computer Vision, Mobile Robotics and HW/SW co-design. Targeted applications include Industry 4.0 (validation of complex tasks / scenarios from design stage on, digital twin) or Advanced Driver Assistance Systems (ADAS). Philippe FILLATREAU teaches software and real-time programming, computer vision and critical embedded systems, and also project management and quality.
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