2019
|
Masters Theses
|
Jari Blom Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location (Masters Thesis) TU Delft Aerospace Engineering; TU Delft Control & Simulation, 2019, (de Croon, G.C.H.E. (graduation committee); Scheper, K.Y.W. (mentor); Delft University of Technology (degree granting institution)). @mastersthesis{uuid:57cfce9e-75aa-42f1-bed4-64b64b927fb4,
title = {Onboard Visual Control of a Quadcopter MAV performing a Landing Task: on a Platform of Unknown Size and Location},
author = {Jari Blom},
url = {http://resolver.tudelft.nl/uuid:57cfce9e-75aa-42f1-bed4-64b64b927fb4},
year = {2019},
date = {2019-01-01},
school = {TU Delft Aerospace Engineering; TU Delft Control & Simulation},
abstract = {Vision based control allows Micro Air Vehicles (MAV) to move autonomously in GPS-denied environments, for example in indoor applications. An open issue in this field is landing on an unknown platform. The difficulty in visual control w.r.t. such an unknown platform, is a lack of scale. Without knowledge of the scale of offsets and object sizes (without height knowledge from GPS) it is difficult to determine an appropriate response from the controller. A control algorithm is designed to fit these requirements using an adaptation of an optical flow divergence based landing scheme, combined with an Image Based Visual Servoing approach applied to features in the Virtual Camera. The approach leads to satisfactory behavior in Gazebo simulations. It results in a robust controller for a range of starting heights and divergence settings.},
note = {de Croon, G.C.H.E. (graduation committee); Scheper, K.Y.W. (mentor); Delft University of Technology (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Vision based control allows Micro Air Vehicles (MAV) to move autonomously in GPS-denied environments, for example in indoor applications. An open issue in this field is landing on an unknown platform. The difficulty in visual control w.r.t. such an unknown platform, is a lack of scale. Without knowledge of the scale of offsets and object sizes (without height knowledge from GPS) it is difficult to determine an appropriate response from the controller. A control algorithm is designed to fit these requirements using an adaptation of an optical flow divergence based landing scheme, combined with an Image Based Visual Servoing approach applied to features in the Virtual Camera. The approach leads to satisfactory behavior in Gazebo simulations. It results in a robust controller for a range of starting heights and divergence settings. |
Bianca Bendriş Decentralized Stochastic Optimal Control for a Swarm of Micro Aerial Vehicles (Masters Thesis) TU Delft Aerospace Engineering, 2019, (de Croon, Guido (mentor); McGuire, Kimberly (graduation committee); Kappen, Bert (graduation committee); Delft University of Technology (degree granting institution)). @mastersthesis{uuid:0cd4f9e3-faf3-4e65-995c-7dd401c8da4c,
title = {Decentralized Stochastic Optimal Control for a Swarm of Micro Aerial Vehicles},
author = {Bianca Bendriş},
url = {http://resolver.tudelft.nl/uuid:0cd4f9e3-faf3-4e65-995c-7dd401c8da4c},
year = {2019},
date = {2019-01-01},
school = {TU Delft Aerospace Engineering},
abstract = {In this work, we model a multi-robot formation planning and control task as an optimization problem, which we solve on-line and in a decentralized manner using the Stochastic Optimal Control (SOC) framework. Typically, the solution of a SOC problem requires solving the Hamilton-Jacobi-Bellman (HJB) equation for all system states and controls. However, this operation becomes intractable when high-dimensional systems are used. In recent years, advances on a certain type of SOC problem, which can be efficiently solved by sampling from a diffusion process have been presented and are better known as path integral (PI) control. We build upon this theory and implement a decentralized formulation of the PI algorithm to compute the optimal controls of real Micro Aerial Vehicles (MAVs) flying in formation using solely on-board computational resources. One challenging aspect of the PI control method is the efficient sampling of useful trajectories. It is not clear how to guide the samples towards the optimal states. To this end, we propose a probe enhanced importance sampling (PEIS) method which performs a coarse exploration of the state space with the objective of identifying an optimal guiding trajectory around which the samples are taken. The feasibility of the proposed method is shown by means of simulation and real-hardware experiments with up to four MAVs in an indoor environment.},
note = {de Croon, Guido (mentor); McGuire, Kimberly (graduation committee); Kappen, Bert (graduation committee); Delft University of Technology (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
In this work, we model a multi-robot formation planning and control task as an optimization problem, which we solve on-line and in a decentralized manner using the Stochastic Optimal Control (SOC) framework. Typically, the solution of a SOC problem requires solving the Hamilton-Jacobi-Bellman (HJB) equation for all system states and controls. However, this operation becomes intractable when high-dimensional systems are used. In recent years, advances on a certain type of SOC problem, which can be efficiently solved by sampling from a diffusion process have been presented and are better known as path integral (PI) control. We build upon this theory and implement a decentralized formulation of the PI algorithm to compute the optimal controls of real Micro Aerial Vehicles (MAVs) flying in formation using solely on-board computational resources. One challenging aspect of the PI control method is the efficient sampling of useful trajectories. It is not clear how to guide the samples towards the optimal states. To this end, we propose a probe enhanced importance sampling (PEIS) method which performs a coarse exploration of the state space with the objective of identifying an optimal guiding trajectory around which the samples are taken. The feasibility of the proposed method is shown by means of simulation and real-hardware experiments with up to four MAVs in an indoor environment. |
Thomas Fijen Persistent Surveillance of a Greenhouse: Evolved neural network controllers for a swarm of UAVs (Masters Thesis) TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Delft Center for Systems and Control, 2019, (Keviczky, T. (mentor); de Croon, G.C.H.E. (mentor); Coppola, M. (graduation committee); Delft University of Technology (degree granting institution)). @mastersthesis{uuid:ec42642a-5872-4177-b514-c3679f6b4055,
title = {Persistent Surveillance of a Greenhouse: Evolved neural network controllers for a swarm of UAVs},
author = {Thomas Fijen},
url = {http://resolver.tudelft.nl/uuid:ec42642a-5872-4177-b514-c3679f6b4055},
year = {2019},
date = {2019-01-01},
school = {TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Delft Center for Systems and Control},
abstract = {With the growing population the agricultural industry needs to find and implement new methods for enhancing food production. Using a Micro Aerial Vehicle (MAV) in Precision Agriculture (PA) offers a large number of benefits such as enabling the farmer to create targeted strategies to increase crop yield, reduced waste and halt the spread of diseases. Despite these advantages, the use of MAVs, particularly in greenhouses, is still very limited. To this end, this thesis seeks to combine, improve and implement existing strategies to solve the persistent surveillance task for a swarm of MAVs operating in a greenhouse environment.<br/>Broadly speaking, the persistent surveillance task seeks to find the optimal paths for a swarm of MAVs such that every point within the Mission Space (MS) is visited and they must minimise the time between successive visits. This will ensure that the MAVs are able fly through the entire greenhouse to collect up-to-date data about all the crops and the local environment. Naturally, on a physical system one has to deal with the limited flight times of the MAVs. This factor becomes very important to the effectiveness of the solution and is critical to the continuous operation of the MAVs.<br/>In literature, many methods have be proposed to solve this task, but the majority are still only tested in simulation. As a result, many works do not consider some physical constraints that will be applied to the system during implementation in a real-world setting. For example, in most cases the authors do not consider the limited fuel available to the agents or they do not consider a practical alternative indoor positioning system to GPS. In this work the problem has been divided into two main sub-tasks, namely; the persistent surveillance task and the refuelling task.<br/>For the persistent surveillance task it was decided to implement a reactive controller, in the form of an evolved Neural Network (NN), which was run on-board the MAVs. The NN used positional information from the other members of the swarm along with limited environmental information to supply its MAV with a command velocity. These NN controllers could achieve coverage levels of over 95% while simultaneously avoiding collisions between 8 MAVs in a 25m x 25m MS. Later, this method was shown to be robust to failures and scalable in terms of both MS and swarm size.<br/>When dealing with the fuel constraints, a Behaviour Tree (BT) was used to determine when the MAV should return to the depot. Surprisingly, when combined with the NN controllers the system experienced an increase in performance across all the defined metrics. No MAV failed due to low fuel levels, coverage increased to 97.41%, average cell age to 52.39s and the number of tests were no collisions were recorded more than doubled. This increase in performance was attributed to the fact that the refuelling periodically drew the MAV towards the centre of the MS. This is counter to the evolved behaviours of the NN where the MAVs would mainly focus their attention around the edges of the MS.<br},
note = {Keviczky, T. (mentor); de Croon, G.C.H.E. (mentor); Coppola, M. (graduation committee); Delft University of Technology (degree granting institution)},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
With the growing population the agricultural industry needs to find and implement new methods for enhancing food production. Using a Micro Aerial Vehicle (MAV) in Precision Agriculture (PA) offers a large number of benefits such as enabling the farmer to create targeted strategies to increase crop yield, reduced waste and halt the spread of diseases. Despite these advantages, the use of MAVs, particularly in greenhouses, is still very limited. To this end, this thesis seeks to combine, improve and implement existing strategies to solve the persistent surveillance task for a swarm of MAVs operating in a greenhouse environment.<br/>Broadly speaking, the persistent surveillance task seeks to find the optimal paths for a swarm of MAVs such that every point within the Mission Space (MS) is visited and they must minimise the time between successive visits. This will ensure that the MAVs are able fly through the entire greenhouse to collect up-to-date data about all the crops and the local environment. Naturally, on a physical system one has to deal with the limited flight times of the MAVs. This factor becomes very important to the effectiveness of the solution and is critical to the continuous operation of the MAVs.<br/>In literature, many methods have be proposed to solve this task, but the majority are still only tested in simulation. As a result, many works do not consider some physical constraints that will be applied to the system during implementation in a real-world setting. For example, in most cases the authors do not consider the limited fuel available to the agents or they do not consider a practical alternative indoor positioning system to GPS. In this work the problem has been divided into two main sub-tasks, namely; the persistent surveillance task and the refuelling task.<br/>For the persistent surveillance task it was decided to implement a reactive controller, in the form of an evolved Neural Network (NN), which was run on-board the MAVs. The NN used positional information from the other members of the swarm along with limited environmental information to supply its MAV with a command velocity. These NN controllers could achieve coverage levels of over 95% while simultaneously avoiding collisions between 8 MAVs in a 25m x 25m MS. Later, this method was shown to be robust to failures and scalable in terms of both MS and swarm size.<br/>When dealing with the fuel constraints, a Behaviour Tree (BT) was used to determine when the MAV should return to the depot. Surprisingly, when combined with the NN controllers the system experienced an increase in performance across all the defined metrics. No MAV failed due to low fuel levels, coverage increased to 97.41%, average cell age to 52.39s and the number of tests were no collisions were recorded more than doubled. This increase in performance was attributed to the fact that the refuelling periodically drew the MAV towards the centre of the MS. This is counter to the evolved behaviours of the NN where the MAVs would mainly focus their attention around the edges of the MS.<br |
Miscellaneous
|
Hermann Blum; Silvan Rohrbach; Marija Popovic; Luca Bartolomei; Roland Siegwart Active Learning for UAV-based Semantic Mapping (Miscellaneous) 2019. @misc{1908.11157,
title = {Active Learning for UAV-based Semantic Mapping},
author = {Hermann Blum and Silvan Rohrbach and Marija Popovic and Luca Bartolomei and Roland Siegwart},
url = {https://arxiv.org/abs/1908.11157},
year = {2019},
date = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Ajith Anil Meera; Marija Popovic; Alexander Millane; Roland Siegwart Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search (Miscellaneous) 2019. @misc{1902.10182,
title = {Obstacle-aware Adaptive Informative Path Planning for UAV-based Target Search},
author = {Ajith Anil Meera and Marija Popovic and Alexander Millane and Roland Siegwart},
url = {https://arxiv.org/abs/1902.10182},
year = {2019},
date = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Marija Popovic; Teresa Vidal-Calleja; Jen Jen Chung; Juan Nieto; Roland Siegwart Informative Path Planning for Active Field Mapping under Localization Uncertainty (Miscellaneous) 2019. @misc{1902.09660,
title = {Informative Path Planning for Active Field Mapping under Localization Uncertainty},
author = {Marija Popovic and Teresa Vidal-Calleja and Jen Jen Chung and Juan Nieto and Roland Siegwart},
url = {https://arxiv.org/abs/1902.09660},
year = {2019},
date = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Guido Croon Obstacle detection using horizon-based learning (Miscellaneous) 2019, (G06K). @misc{23f82cd5875f4767a1852605313bc710,
title = {Obstacle detection using horizon-based learning},
author = {Guido Croon},
url = {https://research.tudelft.nl/en/publications/obstacle-detection-using-horizon-based-learning},
year = {2019},
date = {2019-01-01},
note = {G06K},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Bardienus P. Duisterhof; Srivatsan Krishnan; Jonathan J. Cruz; Colby R. Banbury; William Fu; Aleksandra Faust; Guido C. H. E. Croon; Vijay Janapa Reddi Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller (Miscellaneous) 2019. @misc{1909.11236,
title = {Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller},
author = {Bardienus P. Duisterhof and Srivatsan Krishnan and Jonathan J. Cruz and Colby R. Banbury and William Fu and Aleksandra Faust and Guido C. H. E. Croon and Vijay Janapa Reddi},
url = {https://arxiv.org/abs/1909.11236},
year = {2019},
date = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Tom Dijk; Guido C. H. E. Croon How do neural networks see depth in single images? (Miscellaneous) 2019. @misc{1905.07005,
title = {How do neural networks see depth in single images?},
author = {Tom Dijk and Guido C. H. E. Croon},
url = {https://arxiv.org/abs/1905.07005},
year = {2019},
date = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Hector Garcia Marina; Ewoud Smeur Flexible collaborative transportation by a team of rotorcraft (Miscellaneous) 2019. @misc{1902.00279,
title = {Flexible collaborative transportation by a team of rotorcraft},
author = {Hector Garcia Marina and Ewoud Smeur},
url = {https://arxiv.org/abs/1902.00279},
year = {2019},
date = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
PhD Theses
|
Kirk Scheper Abstraction as a Tool to Bridge the Reality Gap in Evolutionary Robotics (PhD Thesis) Delft University of Technology, 2019. @phdthesis{389f453ef7ff4feaa35332755cf9a9e1,
title = {Abstraction as a Tool to Bridge the Reality Gap in Evolutionary Robotics},
author = {Kirk Scheper},
url = {https://research.tudelft.nl/en/publications/abstraction-as-a-tool-to-bridge-the-reality-gap-in-evolutionary-r},
doi = {10.4233/uuid:389f453e-f7ff-4fea-a353-32755cf9a9e1},
year = {2019},
date = {2019-09-10},
school = {Delft University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
|
Kimberly McGuire Indoor swarm exploration with Pocket Drones (PhD Thesis) Delft University of Technology, 2019, ISBN: 978-94-6182-976-4. @phdthesis{48ed7edc934e4dfcb35cfe04d55caee1,
title = {Indoor swarm exploration with Pocket Drones},
author = {Kimberly McGuire},
url = {https://research.tudelft.nl/en/publications/indoor-swarm-exploration-with-pocket-drones},
doi = {10.4233/uuid:48ed7edc-934e-4dfc-b35c-fe04d55caee1},
isbn = {978-94-6182-976-4},
year = {2019},
date = {2019-01-01},
school = {Delft University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
|
2018
|
Journal Articles
|
Mario Coppola; Kimberly N McGuire; Kirk Y W Scheper; Guido C H E de Croon On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams (Journal Article) In: Autonomous Robots, vol. 42, no. 8, pp. 1787–1805, 2018, ISSN: 1573-7527. @article{coppola2018onboard,
title = {On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams},
author = {Mario Coppola and Kimberly N McGuire and Kirk Y W Scheper and Guido C H E de Croon},
url = {https://doi.org/10.1007/s10514-018-9760-3},
doi = {10.1007/s10514-018-9760-3},
issn = {1573-7527},
year = {2018},
date = {2018-12-01},
journal = {Autonomous Robots},
volume = {42},
number = {8},
pages = {1787--1805},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Christophe Wagter; Matej Karasek; Guido Croon Quad-thopter: Tailless Flapping Wing Robot with 4 Pairs of Wings (Journal Article) In: International Journal of Micro Air Vehicles, vol. 10, no. 3, pp. 244–253, 2018, ISSN: 1756-8293. @article{c73c687620184b40b678dfeab41c91ef,
title = {Quad-thopter: Tailless Flapping Wing Robot with 4 Pairs of Wings},
author = {Christophe Wagter and Matej Karasek and Guido Croon},
url = {https://research.tudelft.nl/en/publications/quad-thopter-tailless-flapping-wing-robot-with-4-pairs-of-wings},
doi = {10.1177/1756829318794972},
issn = {1756-8293},
year = {2018},
date = {2018-09-21},
journal = {International Journal of Micro Air Vehicles},
volume = {10},
number = {3},
pages = {244–253},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Alex Del Estal Herrero; Mustafa Perçin; Matej Karasek; Bas Oudheusden Flow Visualization around a Flapping-Wing Micro Air Vehicle in Free Flight Using Large-Scale PIV (Journal Article) In: Aerospace — Open Access Aeronautics and Astronautics Journal, vol. 5, no. 4, 2018, ISSN: 2226-4310. @article{9b9f341e8bf24b40b4562067009c1544,
title = {Flow Visualization around a Flapping-Wing Micro Air Vehicle in Free Flight Using Large-Scale PIV},
author = {Alex Del Estal Herrero and Mustafa Perçin and Matej Karasek and Bas Oudheusden},
url = {https://research.tudelft.nl/en/publications/flow-visualization-around-a-flapping-wing-micro-air-vehicle-in-fr-2},
doi = {10.3390/aerospace5040099},
issn = {2226-4310},
year = {2018},
date = {2018-09-20},
journal = {Aerospace — Open Access Aeronautics and Astronautics Journal},
volume = {5},
number = {4},
publisher = {MDPI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Alex Del Estal Herrero; Mustafa Perc cin; Matej Karasek; Bas Oudheusden Flow Visualization around a Flapping-Wing Micro Air Vehicle in Free Flight Using Large-Scale PIV (Journal Article) In: Aerospace — Open Access Aeronautics and Astronautics Journal, vol. 5, no. 4, 2018, ISSN: 2226-4310. @article{9b9f341e8bf24b40b4562067009c1544b,
title = {Flow Visualization around a Flapping-Wing Micro Air Vehicle in Free Flight Using Large-Scale PIV},
author = {Alex Del Estal Herrero and Mustafa Perc cin and Matej Karasek and Bas Oudheusden},
url = {https://research.tudelft.nl/en/publications/flow-visualization-around-a-flapping-wing-micro-air-vehicle-in-fr-2},
doi = {10.3390/aerospace5040099},
issn = {2226-4310},
year = {2018},
date = {2018-09-20},
journal = {Aerospace — Open Access Aeronautics and Astronautics Journal},
volume = {5},
number = {4},
publisher = {MDPI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Matej Karasek; Florian T. Muijres; Christophe De Wagter; Bart D. W. Remes; Guido C. H. E. De Croon A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns (Journal Article) In: Science, vol. 361, no. 6407, pp. 1089–1094, 2018, ISSN: 0036-8075. @article{e47f9e90bce74b93988a4492b6e50326,
title = {A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns},
author = {Matej Karasek and Florian T. Muijres and Christophe De Wagter and Bart D. W. Remes and Guido C. H. E. De Croon},
url = {https://research.tudelft.nl/en/publications/a-tailless-aerial-robotic-flapper-reveals-that-flies-use-torque-c},
doi = {10.1126/science.aat0350},
issn = {0036-8075},
year = {2018},
date = {2018-09-14},
journal = {Science},
volume = {361},
number = {6407},
pages = {1089–1094},
publisher = {American Association for the Advancement of Science},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Matěj Karásek; Florian T Muijres; Christophe De Wagter; Bart D W Remes; Guido C H E de Croon A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns (Journal Article) In: Science, vol. 361, no. 6407, pp. 1089–1094, 2018, ISSN: 0036-8075. @article{Karasek2018,
title = {A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns},
author = {Mat{ě}j Karásek and Florian T Muijres and Christophe De Wagter and Bart D W Remes and Guido C H E de Croon},
url = {http://www.sciencemag.org/lookup/doi/10.1126/science.aat0350},
doi = {10.1126/science.aat0350},
issn = {0036-8075},
year = {2018},
date = {2018-09-01},
journal = {Science},
volume = {361},
number = {6407},
pages = {1089--1094},
publisher = {American Association for the Advancement of Science},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sjoerd Tijmons; Matěj Karásek; Guido De Croon Attitude control system for a lightweight flapping wing MAV (Journal Article) In: Bioinspiration and Biomimetics, vol. 13, no. 5, 2018, ISSN: 1748-3182. @article{43792c02912d4bae99009d457737436e,
title = {Attitude control system for a lightweight flapping wing MAV},
author = {Sjoerd Tijmons and Matěj Karásek and Guido De Croon},
url = {https://research.tudelft.nl/en/publications/attitude-control-system-for-a-lightweight-flapping-wing-mav},
doi = {10.1088/1748-3190/aab68c},
issn = {1748-3182},
year = {2018},
date = {2018-07-20},
journal = {Bioinspiration and Biomimetics},
volume = {13},
number = {5},
publisher = {IOP Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sjoerd Tijmons; Christophe Wagter; Bart Remes; Guido Croon Autonomous Door and Corridor Traversal with a 20-Gram Flapping Wing MAV by Onboard Stereo Vision (Journal Article) In: Aerospace — Open Access Aeronautics and Astronautics Journal, vol. 5, no. 3, 2018, ISSN: 2226-4310. @article{a8d813d2e8174bbabcda8e05ed401a26,
title = {Autonomous Door and Corridor Traversal with a 20-Gram Flapping Wing MAV by Onboard Stereo Vision},
author = {Sjoerd Tijmons and Christophe Wagter and Bart Remes and Guido Croon},
url = {https://research.tudelft.nl/en/publications/autonomous-door-and-corridor-traversal-with-a-20-gram-flapping-wi},
doi = {10.3390/aerospace5030069},
issn = {2226-4310},
year = {2018},
date = {2018-06-25},
journal = {Aerospace — Open Access Aeronautics and Astronautics Journal},
volume = {5},
number = {3},
publisher = {MDPI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
G. J. J. Dalen; Kimberly McGuire; Guido Croon Visual Homing for Micro Aerial Vehicles Using Scene Familiarity (Journal Article) In: Unmanned Systems, vol. 06, no. 02, pp. 119–130, 2018, ISSN: 2301-3850. @article{ca31d3aa76e44677bae72514f696f67d,
title = {Visual Homing for Micro Aerial Vehicles Using Scene Familiarity},
author = {G. J. J. Dalen and Kimberly McGuire and Guido Croon},
url = {https://research.tudelft.nl/en/publications/visual-homing-for-micro-aerial-vehicles-using-scene-familiarity},
doi = {10.1142/S230138501850005X},
issn = {2301-3850},
year = {2018},
date = {2018-06-08},
journal = {Unmanned Systems},
volume = {06},
number = {02},
pages = {119–130},
publisher = {World Scientific Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Julien Marzat; Guido de Croon; Friedrich Fraundorfer; Pascal Morin; Antonios Tsourdos Estimation and control for MAV navigation in GPS-denied cluttered environments (Journal Article) In: International Journal of Micro Air Vehicles, vol. 10, no. 2, pp. 125–239, 2018, ISSN: 1756-8293. @article{cc6fa0ae4bdf4b3ba9ef8eb6a5290a2c,
title = {Estimation and control for MAV navigation in GPS-denied cluttered environments},
author = {Julien Marzat and Guido de Croon and Friedrich Fraundorfer and Pascal Morin and Antonios Tsourdos},
url = {https://research.tudelft.nl/en/publications/estimation-and-control-for-mav-navigation-in-gps-denied-cluttered},
doi = {10.1177/1756829318772901},
issn = {1756-8293},
year = {2018},
date = {2018-06-01},
journal = {International Journal of Micro Air Vehicles},
volume = {10},
number = {2},
pages = {125–239},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Julien Marzat; Guido de Croon; Friedrich Fraundorfer; Pascal Morin; Antonios Tsourdos Editorial for special collection on the estimation and control of MAV navigation in GPS-denied cluttered environments (Journal Article) In: International Journal of Micro Air Vehicles, vol. 10, no. 2, pp. 125–126, 2018, ISSN: 1756-8293. @article{bf0fb194b2d04d24b19ee8d80fa16f43,
title = {Editorial for special collection on the estimation and control of MAV navigation in GPS-denied cluttered environments},
author = {Julien Marzat and Guido de Croon and Friedrich Fraundorfer and Pascal Morin and Antonios Tsourdos},
url = {https://research.tudelft.nl/en/publications/editorial-for-special-collection-on-the-estimation-and-control-of},
doi = {10.1177/1756829318772901},
issn = {1756-8293},
year = {2018},
date = {2018-06-01},
journal = {International Journal of Micro Air Vehicles},
volume = {10},
number = {2},
pages = {125–126},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
E. J. J. Smeur; G. C. H. E. Croon; Q. Chu Cascaded incremental nonlinear dynamic inversion for MAV disturbance rejection (Journal Article) In: Control Engineering Practice, vol. 73, pp. 79–90, 2018, ISSN: 0967-0661. @article{3079ef6f907b4b55b21f4a3ad8b65401b,
title = {Cascaded incremental nonlinear dynamic inversion for MAV disturbance rejection},
author = {E. J. J. Smeur and G. C. H. E. Croon and Q. Chu},
url = {https://research.tudelft.nl/en/publications/cascaded-incremental-nonlinear-dynamic-inversion-for-mav-disturba},
doi = {10.1016/j.conengprac.2018.01.003},
issn = {0967-0661},
year = {2018},
date = {2018-04-01},
journal = {Control Engineering Practice},
volume = {73},
pages = {79--90},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
H. W. Ho; C. De Wagter; B. D. W. Remes; G. C. H. E. Croon Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing (Journal Article) In: Robotics and Autonomous Systems, vol. 100, pp. 78–94, 2018, ISSN: 0921-8890. @article{8b00a12becce426c91c9a2c0d35ee7fdb,
title = {Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing},
author = {H. W. Ho and C. De Wagter and B. D. W. Remes and G. C. H. E. Croon},
url = {https://research.tudelft.nl/en/publications/optical-flow-based-self-supervised-learning-of-obstacle-appearanc},
doi = {10.1016/j.robot.2017.10.004},
issn = {0921-8890},
year = {2018},
date = {2018-02-01},
journal = {Robotics and Autonomous Systems},
volume = {100},
pages = {78–94},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sihao Sun; Leon Sijbers; Xuerui Wang; Coen Visser High-Speed Flight of Quadrotor Despite Loss of Single Rotor (Journal Article) In: IEEE Robotics and Automation Letters, vol. 3, no. 4, pp. 3201 – 3207, 2018, ISSN: 2377-3766, (Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.). @article{SunEtAl2018,
title = {High-Speed Flight of Quadrotor Despite Loss of Single Rotor},
author = {Sihao Sun and Leon Sijbers and Xuerui Wang and Coen Visser},
url = {https://research.tudelft.nl/en/publications/high-speed-flight-of-quadrotor-despite-loss-of-single-rotor},
doi = {10.1109/LRA.2018.2851028},
issn = {2377-3766},
year = {2018},
date = {2018-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {3},
number = {4},
pages = {3201 – 3207},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
note = {Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sophie Armanini; Matej Karasek; Coen Visser Global Linear Parameter-Varying Modeling of Flapping-Wing Dynamics Using Flight Data (Journal Article) In: Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control, vol. 41, no. 11, pp. 2338–2360, 2018, ISSN: 0731-5090. @article{087b6ba9319f4eecb60cd70e96b9aa5d,
title = {Global Linear Parameter-Varying Modeling of Flapping-Wing Dynamics Using Flight Data},
author = {Sophie Armanini and Matej Karasek and Coen Visser},
url = {https://research.tudelft.nl/en/publications/global-linear-parameter-varying-modeling-of-flapping-wing-dynamic},
doi = {10.2514/1.G003505},
issn = {0731-5090},
year = {2018},
date = {2018-01-01},
journal = {Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control},
volume = {41},
number = {11},
pages = {2338–2360},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Kevin Hecke; Guido Croon; Laurens Maaten; Daniel Hennes; Dario Izzo Persistent self-supervised learning: From stereo to monocular vision for obstacle avoidance (Journal Article) In: International Journal of Micro Air Vehicles, vol. 10, no. 2, pp. 186–206, 2018, ISSN: 1756-8293. @article{295dfbba6e4f473c81cd4f83ae5b9601,
title = {Persistent self-supervised learning: From stereo to monocular vision for obstacle avoidance},
author = {Kevin Hecke and Guido Croon and Laurens Maaten and Daniel Hennes and Dario Izzo},
url = {https://research.tudelft.nl/en/publications/persistent-self-supervised-learning-from-stereo-to-monocular-visi},
doi = {10.1177/1756829318756355},
issn = {1756-8293},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Micro Air Vehicles},
volume = {10},
number = {2},
pages = {186–206},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
H. W. Ho; G. C. H. E. Croon; E. Kampen; Q. P. Chu; M. Mulder Adaptive Gain Control Strategy for Constant Optical Flow Divergence Landing (Journal Article) In: IEEE Transactions on Robotics, vol. 34, no. 2, pp. 508 – 516, 2018, ISSN: 1552-3098. @article{8883e6903ecc4f86b06c02909678b094,
title = {Adaptive Gain Control Strategy for Constant Optical Flow Divergence Landing},
author = {H. W. Ho and G. C. H. E. Croon and E. Kampen and Q. P. Chu and M. Mulder},
url = {https://research.tudelft.nl/en/publications/adaptive-gain-control-strategy-for-constant-optical-flow-divergen},
doi = {10.1109/TRO.2018.2817418},
issn = {1552-3098},
year = {2018},
date = {2018-01-01},
journal = {IEEE Transactions on Robotics},
volume = {34},
number = {2},
pages = {508 – 516},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mario Coppola; Kimberly N. McGuire; Kirk Y. W. Scheper; Guido C. H. E. Croon On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams (Journal Article) In: Autonomous Robots, vol. 42, no. 8, pp. 1787–1805, 2018, ISSN: 0929-5593. @article{0ee50b7413ad4992a0e3219ab9403636,
title = {On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams},
author = {Mario Coppola and Kimberly N. McGuire and Kirk Y. W. Scheper and Guido C. H. E. Croon},
url = {https://research.tudelft.nl/en/publications/on-board-communication-based-relative-localization-for-collision-},
doi = {10.1007/s10514-018-9760-3},
issn = {0929-5593},
year = {2018},
date = {2018-01-01},
journal = {Autonomous Robots},
volume = {42},
number = {8},
pages = {1787–1805},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Christophe Wagter; Rick Ruijsink; Ewoud Smeur; Kevin Hecke; Freek Tienen; Erik Horst; Bart Remes Design, control, and visual navigation of the DelftaCopter VTOL tail-sitter UAV (Journal Article) In: Journal of Field Robotics, vol. 35, no. 6, pp. 937–960, 2018, ISSN: 1556-4967. @article{4868ff50468d43978ee88e8029e99d3f,
title = {Design, control, and visual navigation of the DelftaCopter VTOL tail-sitter UAV},
author = {Christophe Wagter and Rick Ruijsink and Ewoud Smeur and Kevin Hecke and Freek Tienen and Erik Horst and Bart Remes},
url = {https://research.tudelft.nl/en/publications/design-control-and-visual-navigation-of-the-delftacopter-vtol-tai},
doi = {10.1002/rob.21789},
issn = {1556-4967},
year = {2018},
date = {2018-01-01},
journal = {Journal of Field Robotics},
volume = {35},
number = {6},
pages = {937–960},
publisher = {Wiley},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sihao Sun; Leon Sijbers; Xuerui Wang; Coen Visser High-Speed Flight of Quadrotor Despite Loss of Single Rotor (Journal Article) In: IEEE Robotics and Automation Letters, vol. 3, no. 4, pp. 3201 – 3207, 2018, ISSN: 2377-3766, (Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.). @article{a36435d735a04587b142a7e2f44ba606,
title = {High-Speed Flight of Quadrotor Despite Loss of Single Rotor},
author = {Sihao Sun and Leon Sijbers and Xuerui Wang and Coen Visser},
url = {https://research.tudelft.nl/en/publications/high-speed-flight-of-quadrotor-despite-loss-of-single-rotor},
doi = {10.1109/LRA.2018.2851028},
issn = {2377-3766},
year = {2018},
date = {2018-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {3},
number = {4},
pages = {3201 -- 3207},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
note = {Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
data
|
Kevin Hecke Monocular obstacle avoidance with persistent Self-Supervised Learning (data) 2018. @data{https://doi.org/10.4121/uuid:a3599d11-d56a-4402-93f8-2e7c22cf5dab,
title = {Monocular obstacle avoidance with persistent Self-Supervised Learning},
author = {Kevin Hecke},
url = {https://data.4tu.nl/articles/dataset/Monocular_obstacle_avoidance_with_persistent_Self-Supervised_Learning/12709508/1},
doi = {10.4121/uuid:a3599d11-d56a-4402-93f8-2e7c22cf5dab},
year = {2018},
date = {2018-01-01},
publisher = {TUDelft, ESA},
keywords = {},
pubstate = {published},
tppubtype = {data}
}
|
Matej Karasek; Florian T. Muijres; Christophe De Wagter; Bart D. W. Remes; Guido C. H. E. De Croon A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns (dataset) (data) 2018. @data{10.34894/jhnfnb,
title = {A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns (dataset)},
author = {Matej Karasek and Florian T. Muijres and Christophe De Wagter and Bart D. W. Remes and Guido C. H. E. De Croon},
url = {https://dataverse.nl/citation?persistentId=doi:10.34894/JHNFNB},
doi = {10.34894/JHNFNB},
year = {2018},
date = {2018-01-01},
publisher = {DataverseNL},
keywords = {},
pubstate = {published},
tppubtype = {data}
}
|
João Caetano Free Flight Data DelFly II - AFRL Vicon Tests (data) 2018. @data{10.34894/lwfl43,
title = {Free Flight Data DelFly II - AFRL Vicon Tests},
author = {João Caetano},
url = {https://dataverse.nl/citation?persistentId=doi:10.34894/LWFL43},
doi = {10.34894/LWFL43},
year = {2018},
date = {2018-01-01},
publisher = {DataverseNL},
keywords = {},
pubstate = {published},
tppubtype = {data}
}
|
Book Chapters
|
Borrdephong Rattanagraikanakorn; Alexei Sharpanskykh; Michiel Schuurman; Derek Gransden; Henk A P Blom; Christophe De Wagter Characterizing UAS collision consequences in future UTM (Book Chapter) In: 2018 Aviation Technology, Integration, and Operations Conference, American Institute of Aeronautics and Astronautics (AIAA), 2018. @inbook{borr_2018,
title = {Characterizing UAS collision consequences in future UTM},
author = {Borrdephong Rattanagraikanakorn and Alexei Sharpanskykh and Michiel Schuurman and Derek Gransden and Henk A P Blom and Christophe De Wagter},
doi = {10.2514/6.2018-3031},
year = {2018},
date = {2018-01-01},
booktitle = {2018 Aviation Technology, Integration, and Operations Conference},
publisher = {American Institute of Aeronautics and Astronautics (AIAA)},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
|
Proceedings Articles
|
Menno Goedhart; Erik-Jan Kampen; Sophie Armanini; Coen Visser; Qiping Chu Machine Learning for Flapping Wing Flight Control (Proceedings Article) In: Proceedings of the 2018 AIAA Information Systems-AIAA Infotech @ Aerospace, American Institute of Aeronautics and Astronautics Inc. (AIAA), United States, 2018, (AIAA Information Systems-AIAA Infotech at Aerospace, 2018 ; Conference date: 08-01-2018 Through 12-01-2018). @inproceedings{570432dd84694303bef1d9551683898f,
title = {Machine Learning for Flapping Wing Flight Control},
author = {Menno Goedhart and Erik-Jan Kampen and Sophie Armanini and Coen Visser and Qiping Chu},
url = {https://research.tudelft.nl/en/publications/machine-learning-for-flapping-wing-flight-control},
doi = {10.2514/6.2018-2135},
year = {2018},
date = {2018-01-08},
booktitle = {Proceedings of the 2018 AIAA Information Systems-AIAA Infotech @ Aerospace},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
address = {United States},
note = {AIAA Information Systems-AIAA Infotech at Aerospace, 2018 ; Conference date: 08-01-2018 Through 12-01-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Guido Croon; Christophe Wagter Challenges of Autonomous Flight in Indoor Environments (Proceedings Article) In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Madrid, Spain, October 1-5, 2018, pp. 1003– 1009, IEEE, United States, 2018. @inproceedings{90a20a70f24b405fb1b98ea907273c9e,
title = {Challenges of Autonomous Flight in Indoor Environments},
author = {Guido Croon and Christophe Wagter},
url = {https://research.tudelft.nl/en/publications/challenges-of-autonomous-flight-in-indoor-environments},
doi = {10.1109/IROS.2018.8593704},
year = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Madrid, Spain, October 1-5, 2018},
pages = {1003– 1009},
publisher = {IEEE},
address = {United States},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bart Duisterhof; Guido Croon Autonomous landing algorithm using a sun position predicting model for extended use of solar powered UAVs (Proceedings Article) In: Watkins, Simon; Mohamed, Abdulghani (Ed.): 10th International Micro-Air Vehicles Conference, pp. 315–323, 2018, (10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018). @inproceedings{a3776aeb0ee14d068038833dbca4ba38,
title = {Autonomous landing algorithm using a sun position predicting model for extended use of solar powered UAVs},
author = {Bart Duisterhof and Guido Croon},
editor = {Simon Watkins and Abdulghani Mohamed},
url = {https://research.tudelft.nl/en/publications/autonomous-landing-algorithm-using-a-sun-position-predicting-mode},
year = {2018},
date = {2018-01-01},
booktitle = {10th International Micro-Air Vehicles Conference},
pages = {315–323},
note = {10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Titus Braber; Christophe Wagter; Guido Croon; Robert Babuska Optical-flow-based Stabilization of Micro Air Vehicles Without Scaling Sensors (Proceedings Article) In: Watkins, Prof. Simon; Mohamed, Dr. Abdulghani (Ed.): 10th International Micro-Air Vehicles Conference, pp. 289–297, 2018, (10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018). @inproceedings{8c139607444f40b9a3e897dbea1bec0a,
title = {Optical-flow-based Stabilization of Micro Air Vehicles Without Scaling Sensors},
author = {Titus Braber and Christophe Wagter and Guido Croon and Robert Babuska},
editor = {Prof. Simon Watkins and Dr. Abdulghani Mohamed},
url = {https://research.tudelft.nl/en/publications/optical-flow-based-stabilization-of-micro-air-vehicles-without-sc},
year = {2018},
date = {2018-01-01},
booktitle = {10th International Micro-Air Vehicles Conference},
pages = {289–297},
note = {10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Diana Olejnik; Aadithya Sujit; Matej Karasek; Bart Remes; Guido Croon Wing Sweeping Mechanism for Active Control and Stabilisation of a Flapping Wing MAV (Proceedings Article) In: Watkins, Simon; Mohamed, Abdulghani (Ed.): 10th International Micro-Air Vehicles Conference, pp. 120–126, 2018, (10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018). @inproceedings{d419071c990541e4be319bb9bca61465,
title = {Wing Sweeping Mechanism for Active Control and Stabilisation of a Flapping Wing MAV},
author = {Diana Olejnik and Aadithya Sujit and Matej Karasek and Bart Remes and Guido Croon},
editor = {Simon Watkins and Abdulghani Mohamed},
url = {https://research.tudelft.nl/en/publications/wing-sweeping-mechanism-for-active-control-and-stabilisation-of-a},
year = {2018},
date = {2018-01-01},
booktitle = {10th International Micro-Air Vehicles Conference},
pages = {120–126},
note = {10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Christophe Wagter; Bart Remes; Rick Ruijsink; Erik Horst; Freek Tienen; Dennis Wijngaarden; Joost Meulenbeld; Kevin Hecke DelftaCopter Propulsion Optimization from Hover to Fast Forward Flight usingWindtunnel Measurements (Proceedings Article) In: Mohamed, Abdulghani; Watkins, Simon (Ed.): 10th International Micro-Air Vehicles Conference, pp. 30–38, 2018, (10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018). @inproceedings{b3e23408eac44e2db62f85c4a0ef292a,
title = {DelftaCopter Propulsion Optimization from Hover to Fast Forward Flight usingWindtunnel Measurements},
author = {Christophe Wagter and Bart Remes and Rick Ruijsink and Erik Horst and Freek Tienen and Dennis Wijngaarden and Joost Meulenbeld and Kevin Hecke},
editor = {Abdulghani Mohamed and Simon Watkins},
url = {https://research.tudelft.nl/en/publications/delftacopter-propulsion-optimization-from-hover-to-fast-forward-f},
year = {2018},
date = {2018-01-01},
booktitle = {10th International Micro-Air Vehicles Conference},
pages = {30–38},
note = {10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Joost Meulenbeld; Christophe Wagter; Bart Remes Modeling DelftaCopter from Flight Test Data (Proceedings Article) In: Watkins, Simon; Mohamed, Abdulghani (Ed.): 10th International Micro-Air Vehicles Conference, pp. 18–29, 2018, (10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018). @inproceedings{2f312b6ef1fe430baf5d08ccb90be373,
title = {Modeling DelftaCopter from Flight Test Data},
author = {Joost Meulenbeld and Christophe Wagter and Bart Remes},
editor = {Simon Watkins and Abdulghani Mohamed},
url = {https://research.tudelft.nl/en/publications/modeling-delftacopter-from-flight-test-data},
year = {2018},
date = {2018-01-01},
booktitle = {10th International Micro-Air Vehicles Conference},
pages = {18–29},
note = {10th International Micro-Air Vehicles Conference, IMAV 2018 ; Conference date: 22-11-2018 Through 23-11-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Kirk Scheper; Matej Karasek; Christophe Wagter; Bart Remes; Guido Croon First autonomous multi-room exploration with an insect-inspired flapping wing vehicle (Proceedings Article) In: International Conference on Robotics and Automation, pp. 5546 – 5552, IEEE, United States, 2018, (ICRA 2018: 2018 IEEE International Conference on Robotics and Automation ; Conference date: 21-05-2018 Through 25-05-2018). @inproceedings{cc073f0277f348a993652fbf4f64dacf,
title = {First autonomous multi-room exploration with an insect-inspired flapping wing vehicle},
author = {Kirk Scheper and Matej Karasek and Christophe Wagter and Bart Remes and Guido Croon},
url = {https://research.tudelft.nl/en/publications/first-autonomous-multi-room-exploration-with-an-insect-inspired-f},
doi = {10.1109/ICRA.2018.8460702},
year = {2018},
date = {2018-01-01},
booktitle = {International Conference on Robotics and Automation},
pages = {5546 – 5552},
publisher = {IEEE},
address = {United States},
note = {ICRA 2018: 2018 IEEE International Conference on Robotics and Automation ; Conference date: 21-05-2018 Through 25-05-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Alex Del Estal Herrero; Mustafa Perçin; Matej Karasek; Bas Oudheusden Flow visualization around a flapping-wing micro air vehicle in free flight (Proceedings Article) In: Rösgen, Thomas (Ed.): Proceedings 18th International Symposium on Flow Visualization, ETH Zürich, 2018, (ISFV18: 18th International Symposium on Flow Visualization, ISFV18 ; Conference date: 26-06-2018 Through 29-06-2018). @inproceedings{9f782c20725c4064a8b2f7b842435da4,
title = {Flow visualization around a flapping-wing micro air vehicle in free flight},
author = {Alex Del Estal Herrero and Mustafa Perçin and Matej Karasek and Bas Oudheusden},
editor = {Thomas Rösgen},
url = {https://research.tudelft.nl/en/publications/flow-visualization-around-a-flapping-wing-micro-air-vehicle-in-fr},
doi = {10.3929/ethz-b-000279207},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings 18th International Symposium on Flow Visualization},
publisher = {ETH Zürich},
note = {ISFV18: 18th International Symposium on Flow Visualization, ISFV18 ; Conference date: 26-06-2018 Through 29-06-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Blanca Martinez Gallar; Bas Oudheusden; Andrea Sciacchitano; Matej Karasek Large-scale flow visualization of a flapping-wing micro air vehicle (Proceedings Article) In: Rösgen, Thomas (Ed.): Proceedings 18th International Symposium on Flow Visualization, ETH Zürich, 2018, (ISFV18: 18th International Symposium on Flow Visualization, ISFV18 ; Conference date: 26-06-2018 Through 29-06-2018). @inproceedings{69f7bc3227cd4b21a76136fa59f34389,
title = {Large-scale flow visualization of a flapping-wing micro air vehicle},
author = {Blanca Martinez Gallar and Bas Oudheusden and Andrea Sciacchitano and Matej Karasek},
editor = {Thomas Rösgen},
url = {https://research.tudelft.nl/en/publications/large-scale-flow-visualization-of-a-flapping-wing-micro-air-vehic},
doi = {10.3929/ethz-b-000279239},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings 18th International Symposium on Flow Visualization},
publisher = {ETH Zürich},
note = {ISFV18: 18th International Symposium on Flow Visualization, ISFV18 ; Conference date: 26-06-2018 Through 29-06-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Frank Rijks; Matej Karasek; Sophie Armanini; Coen Visser Studying the Effect of the Tail on the Dynamics of a Flapping-Wing MAV using Free-Flight Data (Proceedings Article) In: Proceedings of the 2018 AIAA Modeling and Simulation Technologies Conference, American Institute of Aeronautics and Astronautics Inc. (AIAA), United States, 2018, (2018 AIAA Modeling and Simulation Technologies Conference ; Conference date: 08-01-2018 Through 12-01-2018). @inproceedings{65c1495c6fba439f9908100bc1d2d8bb,
title = {Studying the Effect of the Tail on the Dynamics of a Flapping-Wing MAV using Free-Flight Data},
author = {Frank Rijks and Matej Karasek and Sophie Armanini and Coen Visser},
url = {https://research.tudelft.nl/en/publications/studying-the-effect-of-the-tail-on-the-dynamics-of-a-flapping-win},
doi = {10.2514/6.2018-0524},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 2018 AIAA Modeling and Simulation Technologies Conference},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
address = {United States},
note = {2018 AIAA Modeling and Simulation Technologies Conference ; Conference date: 08-01-2018 Through 12-01-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sophie Armanini; Matej Karasek; Coen Visser Global LPV model identification of flapping-wing dynamics using flight data (Proceedings Article) In: Proceedings of the 2018 AIAA Modeling and Simulation Technologies Conference, American Institute of Aeronautics and Astronautics Inc. (AIAA), United States, 2018, (2018 AIAA Modeling and Simulation Technologies Conference ; Conference date: 08-01-2018 Through 12-01-2018). @inproceedings{548b1ffba1f04b8ca01238246003d2a9,
title = {Global LPV model identification of flapping-wing dynamics using flight data},
author = {Sophie Armanini and Matej Karasek and Coen Visser},
url = {https://research.tudelft.nl/en/publications/global-lpv-model-identification-of-flapping-wing-dynamics-using-f},
doi = {10.2514/6.2018-2156},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 2018 AIAA Modeling and Simulation Technologies Conference},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
address = {United States},
note = {2018 AIAA Modeling and Simulation Technologies Conference ; Conference date: 08-01-2018 Through 12-01-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mario Coppola; Guido C H E de Croon Optimization of Swarm Behavior Assisted by an Automatic Local Proof for a Pattern Formation Task (Proceedings Article) In: Dorigo, Marco; Birattari, Mauro; Blum, Christian; Christensen, Anders L; Reina, Andreagiovanni; Trianni, Vito (Ed.): Swarm Intelligence, pp. 123–134, Springer International Publishing, Cham, 2018, ISBN: 978-3-030-00533-7. @inproceedings{coppola2018optimization,
title = {Optimization of Swarm Behavior Assisted by an Automatic Local Proof for a Pattern Formation Task},
author = {Mario Coppola and Guido C H E de Croon},
editor = {Marco Dorigo and Mauro Birattari and Christian Blum and Anders L Christensen and Andreagiovanni Reina and Vito Trianni},
isbn = {978-3-030-00533-7},
year = {2018},
date = {2018-01-01},
booktitle = {Swarm Intelligence},
pages = {123--134},
publisher = {Springer International Publishing},
address = {Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Blanca Martínez Gallar; Bas W van Oudheusden; Andrea Sciacchitano; Matěj Karásek Large-Scale Flow Visualization of a Flapping-Wing Micro Air Vehicle (Proceedings Article) In: 18th International Symposium on Flow Visualization ISFV 18, Zurich, Switzerland, 2018. @inproceedings{MartinezGallar2018,
title = {Large-Scale Flow Visualization of a Flapping-Wing Micro Air Vehicle},
author = {Blanca Martínez Gallar and Bas W van Oudheusden and Andrea Sciacchitano and Mat{ě}j Karásek},
year = {2018},
date = {2018-01-01},
booktitle = {18th International Symposium on Flow Visualization ISFV 18},
address = {Zurich, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|