Xu, Jiawei; Saldaña, David
Finding Optimal Modular Robots for Aerial Tasks Proceedings Article Forthcoming
In: 40th IEEE International Conference on Robotics and Automation, IEEE Robotics and Automation Society Forthcoming.
Abstract | BibTeX | Tags: aerial robot, computational geometry, modular robots, multi-robot system, optimization | Links:
@inproceedings{jiaweixu2023finding,
title = {Finding Optimal Modular Robots for Aerial Tasks},
author = {Jiawei Xu and David Saldaña},
url = {https://www.youtube.com/watch?v=JtSZSkYx_Rg,
http://swarmslab.com/wp-content/uploads/2023/05/Finding-Optimal-Modular-Robots-for-Aerial-Tasks.pdf},
year = {2023},
date = {2023-05-29},
urldate = {2023-05-29},
booktitle = {40th IEEE International Conference on Robotics and Automation},
organization = {IEEE Robotics and Automation Society},
series = {IEEE International Conference on Robotics and Automation},
abstract = {Traditional aerial vehicles have limitations in their capabilities due to actuator constraints, such as motor saturation. The hardware components and their arrangement are designed to satisfy specific requirements and are difficult to modify during operation. To address this problem, we introduce a versatile modular multi-rotor vehicle that can change its capabilities by reconfiguration. Our modular robot consists of homogeneous cuboid modules, propelled by quadrotors with tilted rotors. Depending on the number of modules and their configuration, the robot can expand its actuation capabilities. In this paper, we build a mathematical model for the actuation capability of a modular multi-rotor vehicle and develop methods to determine if a vehicle is capable of satisfying a task requirement. Based on this result, we find the optimal configurations for a given task. Our approach is validated in realistic 3D simulations, showing that our modular system can adapt to tasks with varying requirements.},
keywords = {aerial robot, computational geometry, modular robots, multi-robot system, optimization},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Saldana, David; Assunçao, Renato; Hsieh, M. Ani; Campos, Mario F. M.; Kumar, Vijay
Estimating boundary dynamics using robotic sensor networks with pointwise measurements Journal Article
In: Autonomous Robots, vol. 45, no. 2, pp. 193–208, 2021.
BibTeX | Tags: boundary estimation, environmental monitoring, multi-robot system, robot boat, robot sensor network
@article{auros18,
title = {Estimating boundary dynamics using robotic sensor networks with pointwise measurements},
author = {David Saldana and Renato Assunçao and M. Ani Hsieh and Mario F.M. Campos and Vijay Kumar},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Autonomous Robots},
volume = {45},
number = {2},
pages = {193--208},
publisher = {Springer},
keywords = {boundary estimation, environmental monitoring, multi-robot system, robot boat, robot sensor network},
pubstate = {published},
tppubtype = {article}
}
Jahn, Alexander; Alitappeh, Reza Javanmard; Saldaña, David; Pimenta, Luciano C. A.; Santos, Andre G.; Campos, Mario F. M.
Distributed multi-robot coordination for dynamic perimeter surveillance in uncertain environments Proceedings Article
In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 273-278, 2017.
BibTeX | Tags: environmental monitoring, multi-robot system, robot networks, robot sensor network, surveillance | Links:
@inproceedings{7989035,
title = {Distributed multi-robot coordination for dynamic perimeter surveillance in uncertain environments},
author = {Alexander Jahn and Reza Javanmard Alitappeh and David Saldaña and Luciano C. A. Pimenta and Andre G. Santos and Mario F. M. Campos},
doi = {10.1109/ICRA.2017.7989035},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
booktitle = {2017 IEEE International Conference on Robotics and Automation (ICRA)},
pages = {273-278},
keywords = {environmental monitoring, multi-robot system, robot networks, robot sensor network, surveillance},
pubstate = {published},
tppubtype = {inproceedings}
}
Saldaña, David; Assunção, Renato; Campos, Mario F. M.
Predicting Environmental Boundary Behaviors With a Mobile Robot Journal Article
In: IEEE Robotics and Automation Letters, vol. 1, no. 2, pp. 1133-1139, 2016, ISSN: 2377-3766.
BibTeX | Tags: boundary estimation, environmental monitoring, multi-robot system, robot sensor network | Links:
@article{ral16,
title = {Predicting Environmental Boundary Behaviors With a Mobile Robot},
author = {David Saldaña and Renato Assunção and Mario F. M. Campos},
doi = {10.1109/LRA.2016.2522500},
issn = {2377-3766},
year = {2016},
date = {2016-07-01},
urldate = {2016-07-01},
journal = {IEEE Robotics and Automation Letters},
volume = {1},
number = {2},
pages = {1133-1139},
keywords = {boundary estimation, environmental monitoring, multi-robot system, robot sensor network},
pubstate = {published},
tppubtype = {article}
}
Saldaña, David; Alitappeh, Reza J.; Pimenta, Luciano C. A.; Assunção, Renato; Campos, Mario F. M.
Dynamic perimeter surveillance with a team of robots Proceedings Article
In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 5289-5294, 2016.
BibTeX | Tags: environmental monitoring, multi-robot system, robot sensor network, surveillance | Links:
@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 = {environmental monitoring, multi-robot system, robot sensor network, surveillance},
pubstate = {published},
tppubtype = {inproceedings}
}
Saldaña, David; Melo, Ramon; Nascimento, Erickson R.; Campos, Mario F. M.
Detecting Latent Variables of Interest in Geo-localized Environments Using an Aerial Robot Proceedings Article
In: Proceedings of the Brazilian Robotics Symposium and Latin American Robotics Symposium (SBR-LARS), 2015.
BibTeX | Tags: environmental monitoring, multi-robot system, robot sensor network
@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 = {environmental monitoring, multi-robot system, robot sensor network},
pubstate = {published},
tppubtype = {inproceedings}
}
Saldaña, David; Chaimowicz, Luiz; Campos, Mario F. M.
Searching for Regions Out of Normal Conditions Using a Team of Robots Proceedings Article
In: Ösorio, Fernando S.; Wolf, Denis Fernando; Branco, Kalinka Castelo; Jr., Valdir Grassi; Becker, Marcelo; Romero, Roseli" (Ed.): Robotics, pp. 1–15, Springer Berlin Heidelberg, Berlin, Heidelberg, 2015, ISBN: 978-3-662-48134-9.
Abstract | BibTeX | Tags: environmental monitoring, multi-robot system, robot sensor network
@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 = {environmental monitoring, multi-robot system, robot sensor network},
pubstate = {published},
tppubtype = {inproceedings}
}
Saldaña, David; Chaimowicz, Luiz; Campos, Mario F. M.
Searching and Tracking Anomalies with Multiple Robots: A Probabilistic Approach Proceedings Article
In: 2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol, pp. 67-72, 2014.
BibTeX | Tags: boundary estimation, environmental monitoring, multi-robot system, robot sensor network | Links:
@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 = {boundary estimation, environmental monitoring, multi-robot system, robot sensor network},
pubstate = {published},
tppubtype = {inproceedings}
}
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