Conference
2023
Cui, Jinda; Xu, Jiawei; Saldaña, David; Trinkle, Jeffrey
Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information Inproceedings Forthcoming
In: 40th IEEE International Conference on Robotics and Automation, IEEE Robotics and Automation Society Forthcoming.
@inproceedings{jinda2023toward,
title = {Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information},
author = {Jinda Cui and Jiawei Xu and David Saldaña and Jeffrey Trinkle},
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},
abstract = {Dexterous manipulation of objects through fine control of physical contacts is essential for many important tasks of daily living. A fundamental ability underlying fine contact control is compliant control, i.e., controlling the contact forces while moving. For robots, the most widely explored approaches heavily depend on models of manipulated objects and expensive sensors to gather contact location and force information needed for real-time control. The models are difficult to obtain, and the sensors are costly, hindering personal robots' adoption in our homes and businesses. This study performs model-free reinforcement learning of a normal contact force controller on a robotic manipulation system built with a low-cost, information-poor tactile sensor. Despite the limited sensing capability, our force controller can be combined with a motion controller to enable fine contact interactions during object manipulation. Promising results are demonstrated in non-prehensile, dexterous manipulation experiments.},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Dexterous manipulation of objects through fine control of physical contacts is essential for many important tasks of daily living. A fundamental ability underlying fine contact control is compliant control, i.e., controlling the contact forces while moving. For robots, the most widely explored approaches heavily depend on models of manipulated objects and expensive sensors to gather contact location and force information needed for real-time control. The models are difficult to obtain, and the sensors are costly, hindering personal robots’ adoption in our homes and businesses. This study performs model-free reinforcement learning of a normal contact force controller on a robotic manipulation system built with a low-cost, information-poor tactile sensor. Despite the limited sensing capability, our force controller can be combined with a motion controller to enable fine contact interactions during object manipulation. Promising results are demonstrated in non-prehensile, dexterous manipulation experiments.
Xu, Jiawei; Saldaña, David
Finding Optimal Modular Robots for Aerial Tasks Inproceedings Forthcoming
In: 40th IEEE International Conference on Robotics and Automation, IEEE Robotics and Automation Society Forthcoming.
@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 = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
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.
D’Antonio, Diego S.; Bhattacharya, Subhrajit; Saldaña, David
Forming and Controlling Hitches in Midair Using Aerial Robots Inproceedings
In: 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), 2023.
@inproceedings{hitches,
title = {Forming and Controlling Hitches in Midair Using Aerial Robots},
author = {Diego S. D’Antonio and Subhrajit Bhattacharya and David Saldaña},
url = {https://youtu.be/EFig0cOaFZ4
https://arxiv.org/abs/2303.07427},
doi = { https://doi.org/10.48550/arXiv.2303.07427},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {2023 IEEE International Conference on Robotics and Automation (ICRA 2023)},
abstract = {The use of cables for aerial manipulation has shown to be a lightweight and versatile way to interact with objects. However, fastening objects using cables is still a challenge and human is required. In this work, we propose a novel way to secure objects using hitches. The hitch can be formed and morphed in midair using a team of aerial robots with cables. The hitch's shape is modeled as a convex polygon, making it versatile and adaptable to a wide variety of objects. We propose an algorithm to form the hitch systematically. The steps can run in parallel, allowing hitches with a large number of robots to be formed in constant time. We develop a set of actions that include different actions to change the shape of the hitch. We demonstrate our methods using a team of aerial robots via simulation and actual experiments.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The use of cables for aerial manipulation has shown to be a lightweight and versatile way to interact with objects. However, fastening objects using cables is still a challenge and human is required. In this work, we propose a novel way to secure objects using hitches. The hitch can be formed and morphed in midair using a team of aerial robots with cables. The hitch’s shape is modeled as a convex polygon, making it versatile and adaptable to a wide variety of objects. We propose an algorithm to form the hitch systematically. The steps can run in parallel, allowing hitches with a large number of robots to be formed in constant time. We develop a set of actions that include different actions to change the shape of the hitch. We demonstrate our methods using a team of aerial robots via simulation and actual experiments.
2022
Zhu, Brian; Xu, Jiawei; Charway, Andrew; Saldaña, David
PogoDrone: Design, Model, and Control of a Jumping Quadrotor Inproceedings
In: 2022 IEEE International Conference on Robotics and Automation, 2022.
@inproceedings{Zhu2022,
title = {PogoDrone: Design, Model, and Control of a Jumping Quadrotor},
author = {Brian Zhu and Jiawei Xu and Andrew Charway and David Saldaña},
url = {https://arxiv.org/pdf/2204.00207.pdf},
doi = {https://doi.org/10.48550/arXiv.2204.00207},
year = {2022},
date = {2022-04-01},
urldate = {2022-04-01},
booktitle = {2022 IEEE International Conference on Robotics and Automation},
abstract = {We present a design, model, and control for a novel jumping-flying robot that is called PogoDrone. The robot is composed of a quadrotor with a passive mechanism for jumping. The robot can continuously jump in place or fly like a normal quadrotor. Jumping in place allows the robot to quickly move and operate very close to the ground. For instance, in agricultural applications, the jumping mechanism allows the robot to take samples of soil. We propose a hybrid controller that switches from attitude to position control to allow the robot to fall horizontally and recover to the original position. We compare the jumping mode with the hovering mode to analyze the energy consumption. In simulations, we evaluate the effect of different factors on energy consumption. In real experiments, we show that our robot can repeatedly impact the ground, jump, and fly in a physical environment.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We present a design, model, and control for a novel jumping-flying robot that is called PogoDrone. The robot is composed of a quadrotor with a passive mechanism for jumping. The robot can continuously jump in place or fly like a normal quadrotor. Jumping in place allows the robot to quickly move and operate very close to the ground. For instance, in agricultural applications, the jumping mechanism allows the robot to take samples of soil. We propose a hybrid controller that switches from attitude to position control to allow the robot to fall horizontally and recover to the original position. We compare the jumping mode with the hovering mode to analyze the energy consumption. In simulations, we evaluate the effect of different factors on energy consumption. In real experiments, we show that our robot can repeatedly impact the ground, jump, and fly in a physical environment.
D’Antonio, Diego S.; Saldaña, David
Folding Knots Using a Team of Aerial Robots Inproceedings
In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3372-3377, 2022.
@inproceedings{9981363,
title = {Folding Knots Using a Team of Aerial Robots},
author = {Diego S. D’Antonio and David Saldaña},
url = {https://arxiv.org/abs/2208.01482},
doi = {10.1109/IROS47612.2022.9981363},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages = {3372-3377},
abstract = {From ancient times, humans have been using cables and ropes to tie, carry, and manipulate objects by folding knots. However, automating knot folding is challenging because it requires dexterity to move a cable over and under itself. In this paper, we propose a method to fold knots in midair using a team of aerial vehicles. We take advantage of the fact that vehicles are able to fly in between cable segments without any re-grasping. So the team grasps the cable from the floor, and releases it once the knot is folded. Based on a composition of catenary curves, we simplify the complexity of dealing with an infinite-dimensional configuration space of the cable, and formally propose a new knot representation. Such representation allows us to design a trajectory that can be used to fold knots using a leader-follower approach. We show that our method works for different types of knots in simulations. Additionally, we show that our solution is also computationally efficient and can be executed in real-time.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
From ancient times, humans have been using cables and ropes to tie, carry, and manipulate objects by folding knots. However, automating knot folding is challenging because it requires dexterity to move a cable over and under itself. In this paper, we propose a method to fold knots in midair using a team of aerial vehicles. We take advantage of the fact that vehicles are able to fly in between cable segments without any re-grasping. So the team grasps the cable from the floor, and releases it once the knot is folded. Based on a composition of catenary curves, we simplify the complexity of dealing with an infinite-dimensional configuration space of the cable, and formally propose a new knot representation. Such representation allows us to design a trajectory that can be used to fold knots using a leader-follower approach. We show that our method works for different types of knots in simulations. Additionally, we show that our solution is also computationally efficient and can be executed in real-time.
2021
Xu, Jiawei; D’Antonio, Diego S.; Saldaña, David
H-ModQuad: Modular Multi-Rotors with 4, 5, and 6 Controllable DOF Inproceedings
In: 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, ISBN: 978-1-7281-9077-8.
@inproceedings{,
title = {H-ModQuad: Modular Multi-Rotors with 4, 5, and 6 Controllable DOF},
author = {Jiawei Xu and Diego S. D’Antonio and David Saldaña},
url = {https://youtu.be/olKYuWPWxHo
https://arxiv.org/pdf/2106.04048.pdf},
doi = {10.1109/ICRA48506.2021.9561016},
isbn = {978-1-7281-9077-8},
year = {2021},
date = {2021-10-18},
urldate = {2021-10-18},
booktitle = {2021 IEEE International Conference on Robotics and Automation (ICRA)},
abstract = {Traditional aerial vehicles are usually custom-designed for specific tasks. Although they offer an efficient solution, they are not always able to adapt to changes in the task specification, e.g., increasing the payload. This applies to quadrotors, having a maximum payload and only four controllable degrees of freedom, limiting their adaptability to the task’s variations. We propose a versatile modular robotic system that can increase its payload and degrees of freedom by assembling heterogeneous modules; we call it H-ModQuad. It consists of cuboid modules propelled by quadrotors with tilted propellers that can generate forces in different directions. By connecting different types of modules, an H-ModQuad can increase its controllable degrees of freedom from 4 to 5 and 6. We model the general structure and propose three controllers, one for each number of controllable degrees of freedom. We extend the concept of the actuation ellipsoid to find the best reference orientation that can maximize the performance of the structure. Our approach is validated with experiments using actual robots, showing the independence of the translation and orientation of a structure.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Traditional aerial vehicles are usually custom-designed for specific tasks. Although they offer an efficient solution, they are not always able to adapt to changes in the task specification, e.g., increasing the payload. This applies to quadrotors, having a maximum payload and only four controllable degrees of freedom, limiting their adaptability to the task’s variations. We propose a versatile modular robotic system that can increase its payload and degrees of freedom by assembling heterogeneous modules; we call it H-ModQuad. It consists of cuboid modules propelled by quadrotors with tilted propellers that can generate forces in different directions. By connecting different types of modules, an H-ModQuad can increase its controllable degrees of freedom from 4 to 5 and 6. We model the general structure and propose three controllers, one for each number of controllable degrees of freedom. We extend the concept of the actuation ellipsoid to find the best reference orientation that can maximize the performance of the structure. Our approach is validated with experiments using actual robots, showing the independence of the translation and orientation of a structure.
Cardona, Gustavo A.; D’Antonio, Diego S.; Vasile, Cristian-Ioan; Saldaña, David
Non-Prehensile Manipulation of Cuboid Objects Using a Catenary Robot Inproceedings
In: 2021.
@inproceedings{nokey,
title = {Non-Prehensile Manipulation of Cuboid Objects Using a Catenary Robot},
author = {Gustavo A. Cardona and Diego S. D’Antonio and Cristian-Ioan Vasile and David Saldaña},
url = {https://youtu.be/Ou6DPlXPE7A},
year = {2021},
date = {2021-08-13},
urldate = {2021-08-13},
abstract = {Transporting objects using quadrotors with cables has been widely studied in the literature. However, most of those approaches assume that the cables are previously attached to the load by human intervention. In tasks where multiple objects need to be moved, the efficiency of the robotic system is constrained by the requirement of manual labor. Our approach uses a non-stretchable cable connected to two quadrotors, which we call the catenary robot, that fully automates the transportation task. Using the cable, we can roll and drag the cuboid object (box) on planar surfaces. Depending on the surface type, we choose the proper action, dragging for low friction, and rolling for high friction. Therefore, the transportation process does not require any human intervention as we use the cable to interact with the box without requiring fastening. We validate our control design in simulation and with actual robots, where we show them rolling and dragging boxes to track desired trajectories.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Transporting objects using quadrotors with cables has been widely studied in the literature. However, most of those approaches assume that the cables are previously attached to the load by human intervention. In tasks where multiple objects need to be moved, the efficiency of the robotic system is constrained by the requirement of manual labor. Our approach uses a non-stretchable cable connected to two quadrotors, which we call the catenary robot, that fully automates the transportation task. Using the cable, we can roll and drag the cuboid object (box) on planar surfaces. Depending on the surface type, we choose the proper action, dragging for low friction, and rolling for high friction. Therefore, the transportation process does not require any human intervention as we use the cable to interact with the box without requiring fastening. We validate our control design in simulation and with actual robots, where we show them rolling and dragging boxes to track desired trajectories.
Cardona, Gustavo A.; D’Antonio, Diego S.; Fierro, Rafael; Saldaña, David
Adaptive Control for Cooperative Aerial Transportation Using Catenary Robots Inproceedings
In: 2021 Aerial Robotic Systems Physically Interacting with the Environment (AIRPHARO), pp. 1-8, 2021.
BibTeX | Links:
@inproceedings{9571068,
title = {Adaptive Control for Cooperative Aerial Transportation Using Catenary Robots},
author = {Gustavo A. Cardona and Diego S. D’Antonio and Rafael Fierro and David Saldaña},
url = {https://youtu.be/MeEGL_PUBx4},
doi = {10.1109/AIRPHARO52252.2021.9571068},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {2021 Aerial Robotic Systems Physically Interacting with the Environment (AIRPHARO)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gabrich, Bruno; Saldaña, David; Yim, Mark
Finding Structure Configurations for Flying Modular Robots Inproceedings
In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6970-6976, 2021.
BibTeX | Links:
@inproceedings{finding2021gabrich,
title = {Finding Structure Configurations for Flying Modular Robots},
author = {Bruno Gabrich and David Saldaña and Mark Yim},
doi = {10.1109/IROS51168.2021.9636086},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages = {6970-6976},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2020
Guerrero-Bonilla, Luis; Saldaña, David; Kumar, Vijay
Dense r-robust formations on lattices Inproceedings
In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 6633-6639, 2020.
BibTeX | Links:
@inproceedings{icra20luis,
title = {Dense r-robust formations on lattices},
author = {Luis Guerrero-Bonilla and David Saldaña and Vijay Kumar},
doi = {10.1109/ICRA40945.2020.9196683},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {2020 IEEE International Conference on Robotics and Automation (ICRA)},
pages = {6633-6639},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Yu, Xi; Shishika, Daigo; Saldaña, David; Hsieh, M. Ani
Modular Robot Formation and Routing for Resilient Consensus Inproceedings
In: 2020 American Control Conference (ACC), pp. 2464-2471, 2020.
@inproceedings{acc20xi,
title = {Modular Robot Formation and Routing for Resilient Consensus},
author = {Xi Yu and Daigo Shishika and David Saldaña and M. Ani Hsieh},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {2020 American Control Conference (ACC)},
pages = {2464-2471},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Li, Guanrui; Gabrich, Bruno; Saldaña, David; Das, Jnaneshwar; Kumar, Vijay; Yim, Mark
ModQuad-Vi: A Vision-Based Self-Assembling Modular Quadrotor Inproceedings
In: 2019 International Conference on Robotics and Automation (ICRA), pp. 346-352, 2019.
BibTeX | Links:
@inproceedings{8794056,
title = {ModQuad-Vi: A Vision-Based Self-Assembling Modular Quadrotor},
author = {Guanrui Li and Bruno Gabrich and David Saldaña and Jnaneshwar Das and Vijay Kumar and Mark Yim},
doi = {10.1109/ICRA.2019.8794056},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {2019 International Conference on Robotics and Automation (ICRA)},
pages = {346-352},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2018
Saldaña, David; Gabrich, Bruno; Li, Guanrui; Yim, Mark; Kumar, Vijay
ModQuad: The Flying Modular Structure that Self-Assembles in Midair Inproceedings
In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 691-698, 2018, ISSN: 2577-087X.
BibTeX | Links:
@inproceedings{icra18modquad,
title = {ModQuad: The Flying Modular Structure that Self-Assembles in Midair},
author = {David Saldaña and Bruno Gabrich and Guanrui Li and Mark Yim and Vijay Kumar},
url = {https://youtu.be/t9kXrhDwXf0},
doi = {10.1109/ICRA.2018.8461014},
issn = {2577-087X},
year = {2018},
date = {2018-05-01},
urldate = {2018-05-01},
booktitle = {2018 IEEE International Conference on Robotics and Automation (ICRA)},
pages = {691-698},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gabrich, Bruno; Saldaña, David; Kumar, Vijay; Yim, Mark
A Flying Gripper Based on Cuboid Modular Robots Inproceedings
In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 7024-7030, 2018, ISSN: 2577-087X.
BibTeX | Links:
@inproceedings{icra18gripper,
title = {A Flying Gripper Based on Cuboid Modular Robots},
author = {Bruno Gabrich and David Saldaña and Vijay Kumar and Mark Yim},
url = {https://youtu.be/43RSgWRLhJc},
doi = {10.1109/ICRA.2018.8460682},
issn = {2577-087X},
year = {2018},
date = {2018-05-01},
urldate = {2018-05-01},
booktitle = {2018 IEEE International Conference on Robotics and Automation (ICRA)},
pages = {7024-7030},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2017
Saldaña, David; Prorok, Amanda; Sundaram, Shreyas; Campos, Mario F. M.; Kumar, Vijay
Resilient consensus for time-varying networks of dynamic agents Inproceedings
In: 2017 American Control Conference (ACC), pp. 252-258, 2017.
BibTeX | Links:
@inproceedings{7962962,
title = {Resilient consensus for time-varying networks of dynamic agents},
author = {David Saldaña and Amanda Prorok and Shreyas Sundaram and Mario F. M. Campos and Vijay Kumar},
doi = {10.23919/ACC.2017.7962962},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
booktitle = {2017 American Control Conference (ACC)},
pages = {252-258},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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 Inproceedings
In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 273-278, 2017.
BibTeX | 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 = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Saldaña, David; Gabrich, Bruno; Whitzer, Michael; Prorok, Amanda; Campos, Mario F. M.; Yim, Mark; Kumar, Vijay
A decentralized algorithm for assembling structures with modular robots Inproceedings
In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2736-2743, 2017.
BibTeX | Links:
@inproceedings{8206101,
title = {A decentralized algorithm for assembling structures with modular robots},
author = {David Saldaña and Bruno Gabrich and Michael Whitzer and Amanda Prorok and Mario F. M. Campos and Mark Yim and Vijay Kumar},
doi = {10.1109/IROS.2017.8206101},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
booktitle = {2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages = {2736-2743},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Saldaña, David; Assunção, Renato; Hsieh, M. Ani; Campos, Mario F. M.; Kumar, Vijay
Cooperative prediction of time-varying boundaries with a team of robots Inproceedings
In: 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), pp. 9-16, 2017.
BibTeX | Links:
@inproceedings{8250925,
title = {Cooperative prediction of time-varying boundaries with a team of robots},
author = {David Saldaña and Renato Assunção and M. Ani Hsieh and Mario F. M. Campos and Vijay Kumar},
doi = {10.1109/MRS.2017.8250925},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
booktitle = {2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)},
pages = {9-16},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
Saldaña, David; Alitappeh, Reza J.; Pimenta, Luciano C. A.; Assunção, Renato; Campos, Mario F. M.
Dynamic perimeter surveillance with a team of robots Inproceedings
In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 5289-5294, 2016.
BibTeX | 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 = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2015
Saldaña, David; Melo, Ramon; Nascimento, Erickson R.; Campos, Mario F. M.
Detecting Latent Variables of Interest in Geo-localized Environments Using an Aerial Robot Inproceedings
In: Proceedings of the Brazilian Robotics Symposium and Latin American Robotics Symposium (SBR-LARS), 2015.
@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}
}
Saldaña, David; Chaimowicz, Luiz; Campos, Mario F. M.
Searching for Regions Out of Normal Conditions Using a Team of Robots Inproceedings
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.
@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}
}
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.
Saldaña, David; Assunção, Renato; Campos, Mario F. M.
A distributed multi-robot approach for the detection and tracking of multiple dynamic anomalies Inproceedings
In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 1262-1267, 2015.
BibTeX | Links:
@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}
}
2014
Saldaña, David; Chaimowicz, Luiz; Campos, Mario F. M.
Searching and Tracking Anomalies with Multiple Robots: A Probabilistic Approach Inproceedings
In: 2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol, pp. 67-72, 2014.
BibTeX | 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 = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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