has Bachelor in Electrical Engineering from Federal University of Mato Grosso (UFMT/Cuiabá 2005), Master in Electrical Engineering from University of São Paulo (EESC/USP 2007) and Ph.D. in Electrical Engineering from University of São Paulo (EESC/USP 2012). He is currently Professor in the Computer Sciences Departmente of the Federal University of São Carlos. He has experience in Electrical Engineering, acting on the following subjects: Robust Kalman Filtering, Inertial Navigation system Aided by GPS, Robotics, Unmanned Aerial Vehicles, Robust Control, Adaptive Control, Fuzzy Systems and Neural Networks. (Source: Lattes Curriculum)
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Wheeled mobile robots usually need wheel velocity measurement to implement the control system of the vehicle. For small-sized robots, usually used in robotics competitions, the assembly of encoders for velocity measurement of the wheels is not an easy task due to the space available to attach them to the wheels. Besides that, the computer vision system mounting over the arena of robotics …
The purpose of this research project is to obtain the metric scale VSLAM algorithms (Visual Simultaneous Localization and Mapping) using a commercial MAV (Micro Aerial Vehicle) equipped with monocular camera to obtain 3D maps and metrics locations. Three methods are compared, the former uses the extended Kalman filter to carry out the fusion between the VSLAM data with inertial movement o…
The collision avoidance problem for Unmanned Aerial Vehicles (UAVs) is a long date subject of research, but for which solutions historically tended to be developed by ad-hoc criteria, case by case, so that only recently robust methods for general use have begun to be developed. In effect, be it in theory or in application, the area holds great potential for growth, and due to the recent r…
This research project proposes the development of a low-cost 3D reconstruction system in real-time using Micro Aerial Vehicles (MAVs) for remote sensing. For this, it will be developed a Simultaneous Localization and Mapping (SLAM) approach based on robust Kalman filter for Markov Jump Linear Systems (MJLS) subject to parametric uncertainties. This filter will perform the fusion of the m…
| 2 / 0 | Completed research grants |
| 4 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 7 / 4 | All research grants and scholarships |
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CV Lattes
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