@inproceedings{icra16perimeter,

title = {Dynamic perimeter surveillance with a team of robots},

author = {David Saldaña and Reza J. Alitappeh and Luciano C. A. Pimenta and Renato Assunção and Mario F. M. Campos},

doi = {10.1109/ICRA.2016.7487740},

year  = {2016},

date = {2016-05-01},

urldate = {2016-05-01},

booktitle = {2016 IEEE International Conference on Robotics and Automation (ICRA)},

pages = {5289-5294},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{7139353,

title = {A distributed multi-robot approach for the detection and tracking of multiple dynamic anomalies},

author = {David Saldaña and Renato Assunção and Mario F. M. Campos},

doi = {10.1109/ICRA.2015.7139353},

year  = {2015},

date = {2015-01-01},

booktitle = {2015 IEEE International Conference on Robotics and Automation (ICRA)},

pages = {1262-1267},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{saldana2015sbr,

title = {Detecting Latent Variables of Interest in Geo-localized Environments Using an Aerial Robot},

author = {David Saldaña and Ramon Melo and Erickson R. Nascimento and Mario F. M. Campos},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

booktitle = {Proceedings of the Brazilian Robotics Symposium and Latin American Robotics Symposium (SBR-LARS)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-662-48134-9_1,

title = {Searching for Regions Out of Normal Conditions Using a Team of Robots},

author = {David Saldaña and Luiz Chaimowicz and Mario F. M. Campos},

editor = {Fernando S. Ösorio and Denis Fernando Wolf and Kalinka Castelo Branco and Valdir Grassi Jr. and Marcelo Becker and Roseli" Romero},

isbn = {978-3-662-48134-9},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

booktitle = {Robotics},

pages = {1--15},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

abstract = {Searching for regions in abnormal conditions is a priority in environments susceptible to catastrophes (e.g. forest fires or oil spills). Those disasters usually begin with an small anomaly that may became unsustainable if it is not detected at an early stage. We propose a probabilistic technique to coordinate multiple robots in perimeter searching and tracking, which are fundamental tasks if they are to detect and follow anomalies in an environment. The proposed method is based on a particle filter technique, which uses multiple robots to fuse distributed sensor information and estimate the shape of an anomaly. Complementary sensor fusion is used to coordinate robot navigation and reduce detection time when an anomaly arises. Validation of our approach is obtained both in simulation and with real robots. Five different scenarios were designed to evaluate and compare the efficiency in both exploration and tracking tasks. The results have demonstrated that when compared to state-of-the art methods in the literature, the proposed method is able to search anomalies under uncertainty and reduce the detection time by automatically increasing the number of robots.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{lars2014,

title = {Searching and Tracking Anomalies with Multiple Robots: A Probabilistic Approach},

author = {David Saldaña and Luiz Chaimowicz and Mario F. M. Campos},

doi = {10.1109/SBR.LARS.Robocontrol.2014.42},

year  = {2014},

date = {2014-10-01},

urldate = {2014-10-01},

booktitle = {2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol},

pages = {67-72},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}