CV Lattes
ResearcherID
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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation for the last research proposal) Birthplace: Brazil
Graduated in Computer Science from Universidade Federal do Rio Grande do Sul (1988), Master's in Computer Science from Universidade Federal do Rio Grande do Sul (1991) and Ph.D. in "Informatique Systèmes Et Communications" from Institut National Polytechique de Grenoble - INPG/IMAG, France(1998). Fernando Osório works as researcher/professor since 1990, and now he is Assistant Professor at the University of Sao Paulo (ICMC/USP), Brazil. Professor Osório is member of ACM, IEEE and SBC-Brazilian Computer Society, board member of the Robotics Council of the SBC (CER 2008-2018), board member of the Artificial Intelligence Council of the SBC (CEIA 2007-2010), board member of the Center for AI USP-FAPESP-IBM (C4AI 2020- ), board member of the Center for Robotics of USP (CRob/USP - 2013- ), and IEEE DVP Member (Distinguished Visitor Program - Latin America 2007-2009). He is member of the autonomous and intelligent robots research groups from USP-ICMC, at LRM (Mobile Robotics Research Laboratory), INCT-SEC (National Institute of Science and Technology for Critical Embedded Systems), and also he is group member of SENA project (Autonomous Navigation Embedded System). He published 32 paper in journals, more than 170 papers in conference proceedings, he organized 8 books, and published 12 book chapters. His main research interests are: Mobile Robotics, Machine Learning, Intelligent Systems, Image Processing and Virtual Simulation. (Source: Lattes Curriculum)
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Autonomous mobile robotics is a multidisciplinary research area that has been intensively studied recently. Its greatest challenge is developing mobile robots able to understand what is around. Capable of processing information and making a right decision. Autonomous navigation is a major problem from mobile robotics area. Even though it has been target of studies for the last decades, it…
The GPUService Project is related to the context of research and development of methods for three-dimensional sensor data processing applied to mobile robotics. Such methods are called services on this project and they include 3D point cloud pre-processing algorithms, segmentation of its data, separation and identification of planar zones (ground and roads), and detection of elements of i…
The main goal of this work is to enable an unmanned ground vehicle to maneuver autonomously in an external and non structured environments or loosely structured environments, as for example, a few dense forests or in crop fields. This vehicle must be able to avoid obstacles, autonomously detecting them, and driving itself to a predetermined location, reasoning and defining by its own mean…
(Only some records are available in English at this moment)
In typical developing infants, cognitive and emotional attitudes towards objects and people constitute the ingredients of social relationships. Infantile autism, which is a neurodevelopmental disorder, is characterized by difficulties in social and interpersonal communication as well as in processing own and other people's emotions. In autism rehabilitation therapy, different approaches a…
| 5 / 5 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 6 / 6 | All Scholarships |
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(References retrieved automatically from State of São Paulo Research Institutions)
KLASER, Rafael Luiz. Navegação de veículos autônomos em ambientes externos não estruturados baseada em visão computacional. Dissertação (Mestrado) - Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos. (12/04555-4)
CHRISTINO, Leonardo Milhomem Franco. Aceleração por GPU de serviços em sistemas robóticos focado no processamento de tempo real de nuvem de pontos 3D. Dissertação (Mestrado) - Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos. (13/13880-9)
SALES, Daniel Oliva. NeuroFSM: aprendizado de Autômatos Finitos através do uso de Redes Neurais Artificiais aplicadas à robôs móveis e veículos autônomos. Dissertação (Mestrado) - Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos. (10/02829-4)