CV Lattes
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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
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 Department 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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It is known that the Unmanned Aerial Vehicles (UAVs) perform a wide variety of tasks, which often requires the aircraft to land during operation. This can be observed in material delivery operations, for example. In this scenario, it is important that the landing is carried out with high precision, ensuring the safety of the environment and the drone. In this research project, a landing p…
During the process of dispensing medicines and materials in a hospital pharmacy, agility and precision are essential to prevent medication errors from occurring. Using technological tools can help to ensure this. One of the existing technologies on the market that can help in this application is the robotic manipulator.During the medication dispensing process in a hospital pharmacy, agili…
Inspection indoor environments is increasingly important, given its usefulness in finding simple faults or even those that pose an imminent danger to the people involved. Still aiming at safety and optimization, robotic platforms are used in this task, enabling inspection in unhealthy and toxic environments to the quality of human life. This requires simultaneous location and mapping (SLA…
Unmanned Aerial Vehicles (UAVs), also known as Drones, often operate under adverse environmental conditions, where external disturbances, such as wind gusts, and parametric uncertainties in the dynamic model of these vehicles - as mass, center of gravity, and moments of inertia - are constantly present. In this scenario, it is important that the control used is robust enough to deal with …
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This project targets the critical phase of experimental validation for an advancedneural network-based adaptive control system, specifically designed for UnmannedAerial Vehicles (UAVs) operating under adverse environmental conditions. This re-search topic is being pursued in the candidate's Scientific Initiation, where the controlsystem, developed using Python and TensorFlow, employs deep…
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 |
| 1 / 1 | Ongoing scholarships in Brazil |
| 7 / 6 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 12 / 9 | All research grants and scholarships |
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