2021
|
Journal Articles
|
D. Wijnker, T. van Dijk, G.C.H.E. de Croon, C. De Wagter Hear-and-avoid for unmanned air vehicles using convolutional neural networks (Journal Article) International Journal of Micro Air Vehicles, 13 , pp. 1-15, 2021. (Abstract | Links | BibTeX) @article{audio_ijmav_2021,
title = { Hear-and-avoid for unmanned air vehicles using convolutional neural networks},
author = {D. Wijnker, T. van Dijk, G.C.H.E. de Croon, C. De Wagter},
url = {https://journals.sagepub.com/doi/full/10.1177/1756829321992137},
doi = {10.1177/1756829321992137},
year = {2021},
date = {2021-02-10},
journal = {International Journal of Micro Air Vehicles},
volume = {13},
pages = {1-15},
abstract = {To investigate how an unmanned air vehicle can detect manned aircraft with a single microphone, an audio data set is created in which unmanned air vehicle ego-sound and recorded aircraft sound are mixed together. A convolutional neural network is used to perform air traffic detection. Due to restrictions on flying unmanned air vehicles close to aircraft, the data set has to be artificially produced, so the unmanned air vehicle sound is captured separately from the aircraft sound. They are then mixed with unmanned air vehicle recordings, during which labels are given indicating whether the mixed recording contains aircraft audio or not. The model is a convolutional neural network that uses the features Mel frequency cepstral coefficient, spectrogram or Mel spectrogram as input. For each feature, the effect of unmanned air vehicle/aircraft amplitude ratio, the type of labeling, the window length and the addition of third party aircraft sound database recordings are explored. The results show that the best performance is achieved using the Mel spectrogram feature. The performance increases when the unmanned air vehicle/aircraft amplitude ratio is decreased, when the time window is increased or when the data set is extended with aircraft audio recordings from a third party sound database. Although the currently presented approach has a number of false positives and false negatives that is still too high for real-world application, this study indicates multiple paths forward that can lead to an interesting performance. Finally, the data set is provided as open access.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
To investigate how an unmanned air vehicle can detect manned aircraft with a single microphone, an audio data set is created in which unmanned air vehicle ego-sound and recorded aircraft sound are mixed together. A convolutional neural network is used to perform air traffic detection. Due to restrictions on flying unmanned air vehicles close to aircraft, the data set has to be artificially produced, so the unmanned air vehicle sound is captured separately from the aircraft sound. They are then mixed with unmanned air vehicle recordings, during which labels are given indicating whether the mixed recording contains aircraft audio or not. The model is a convolutional neural network that uses the features Mel frequency cepstral coefficient, spectrogram or Mel spectrogram as input. For each feature, the effect of unmanned air vehicle/aircraft amplitude ratio, the type of labeling, the window length and the addition of third party aircraft sound database recordings are explored. The results show that the best performance is achieved using the Mel spectrogram feature. The performance increases when the unmanned air vehicle/aircraft amplitude ratio is decreased, when the time window is increased or when the data set is extended with aircraft audio recordings from a third party sound database. Although the currently presented approach has a number of false positives and false negatives that is still too high for real-world application, this study indicates multiple paths forward that can lead to an interesting performance. Finally, the data set is provided as open access. |
G.C.H.E. de Croon, C. De Wagter, T. Seidl Enhancing optical-flow-based control by learning visual appearance cues for flying robots (Journal Article) Nature Machine Intelligence, 3 (1), 2021. (Abstract | Links | BibTeX) @article{nature_ai_optical_flow,
title = {Enhancing optical-flow-based control by learning visual appearance cues for flying robots},
author = {G.C.H.E. de Croon, C. De Wagter, T. Seidl},
doi = {10.1038/s42256-020-00279-7},
year = {2021},
date = {2021-01-19},
journal = {Nature Machine Intelligence},
volume = {3},
number = {1},
abstract = {Flying insects employ elegant optical-flow-based strategies to solve complex tasks such as landing or obstacle avoidance. Roboticists have mimicked these strategies on flying robots with only limited success, because optical flow (1) cannot disentangle distance from velocity and (2) is less informative in the highly important flight direction. Here, we propose a solution to these fundamental shortcomings by having robots learn to estimate distances to objects by their visual appearance. The learning process obtains supervised targets from a stability-based distance estimation approach. We have successfully implemented the process on a small flying robot. For the task of landing, it results in faster, smooth landings. For the task of obstacle avoidance, it results in higher success rates at higher flight speeds. Our results yield improved robotic visual navigation capabilities and lead to a novel hypothesis on insect intelligence: behaviours that were described as optical-flow-based and hardwired actually benefit from learning processes.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Flying insects employ elegant optical-flow-based strategies to solve complex tasks such as landing or obstacle avoidance. Roboticists have mimicked these strategies on flying robots with only limited success, because optical flow (1) cannot disentangle distance from velocity and (2) is less informative in the highly important flight direction. Here, we propose a solution to these fundamental shortcomings by having robots learn to estimate distances to objects by their visual appearance. The learning process obtains supervised targets from a stability-based distance estimation approach. We have successfully implemented the process on a small flying robot. For the task of landing, it results in faster, smooth landings. For the task of obstacle avoidance, it results in higher success rates at higher flight speeds. Our results yield improved robotic visual navigation capabilities and lead to a novel hypothesis on insect intelligence: behaviours that were described as optical-flow-based and hardwired actually benefit from learning processes. |
H Y Lee; H W Ho; Y Zhou Deep Learning-based Monocular Obstacle Avoidance for Unmanned Aerial Vehicle Navigation in Tree Plantations: Faster Region-based Convolutional Neural Network Approach (Journal Article) Journal of Intelligent and Robotic Systems: Theory and Applications, 101 (1), 2021, ISSN: 0921-0296. (Links | BibTeX) @article{41bbc3e560d1448093ab2ce6220da811,
title = {Deep Learning-based Monocular Obstacle Avoidance for Unmanned Aerial Vehicle Navigation in Tree Plantations: Faster Region-based Convolutional Neural Network Approach},
author = {{H Y } Lee and {H W } Ho and Y Zhou},
url = {https://research.tudelft.nl/en/publications/deep-learning-based-monocular-obstacle-avoidance-for-unmanned-aer},
doi = {10.1007/s10846-020-01284-z},
issn = {0921-0296},
year = {2021},
date = {2021-01-01},
journal = {Journal of Intelligent and Robotic Systems: Theory and Applications},
volume = {101},
number = {1},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Seng Man Wong; Hann Woei Ho; Mohd Zulkifly Abdullah Design and Fabrication of a Dual Rotor-Embedded Wing Vertical Take-Off and Landing Unmanned Aerial Vehicle (Journal Article) Unmanned Systems, 9 (1), pp. 45–63, 2021, ISSN: 2301-3850. (Links | BibTeX) @article{3ef0950c1f824e58b1c847e69a6adae5,
title = {Design and Fabrication of a Dual Rotor-Embedded Wing Vertical Take-Off and Landing Unmanned Aerial Vehicle},
author = {{Seng Man} Wong and {Hann Woei} Ho and {Mohd Zulkifly} Abdullah},
url = {https://research.tudelft.nl/en/publications/design-and-fabrication-of-a-dual-rotor-embedded-wing-vertical-tak},
doi = {10.1142/S2301385021500096},
issn = {2301-3850},
year = {2021},
date = {2021-01-01},
journal = {Unmanned Systems},
volume = {9},
number = {1},
pages = {45--63},
publisher = {World Scientific Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Miscellaneous
|
Yingfu Xu; Guido C H E de Croon CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers (Miscellaneous) 2021. (Links | BibTeX) @misc{2101.01841,
title = {CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers},
author = {Yingfu Xu and Guido C H E de Croon},
url = {https://arxiv.org/abs/2101.01841},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
2020
|
Journal Articles
|
Kirk Y.W.Scheper, Guido C.H.E.de Croon Evolution of robust high speed optical-flow-based landing for autonomous MAVs (Journal Article) Robotics and Autonomous Systems, 124 , 2020. (Links | BibTeX) @article{scheper2019evolution,
title = {Evolution of robust high speed optical-flow-based landing for autonomous MAVs},
author = {Kirk Y.W.Scheper, Guido C.H.E.de Croon},
url = {https://www.sciencedirect.com/science/article/abs/pii/S0921889019302404},
doi = {10.1016/j.robot.2019.103380},
year = {2020},
date = {2020-11-23},
journal = {Robotics and Autonomous Systems},
volume = {124},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Shuo Li; Micha"el M O I Ozo; Christophe De Wagter; Guido C H E de Croon Autonomous drone race: A computationally efficient vision-based navigation and control strategy (Journal Article) Robotics and Autonomous Systems, 133 , 2020, ISSN: 0921-8890. (Links | BibTeX) @article{022f5ed1ba26449f8851254541a93267,
title = {Autonomous drone race: A computationally efficient vision-based navigation and control strategy},
author = {Shuo Li and {Micha{"e}l M O I } Ozo and Christophe {De Wagter} and {Guido C H E } {de Croon}},
url = {https://research.tudelft.nl/en/publications/autonomous-drone-race-a-computationally-efficient-vision-based-na},
doi = {10.1016/j.robot.2020.103621},
issn = {0921-8890},
year = {2020},
date = {2020-11-01},
journal = {Robotics and Autonomous Systems},
volume = {133},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
J.J. Hagenaars, F. Paredes-Vallés, S.M. Bohté, G.C.H.E. de Croon Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs (Journal Article) IEEE Robotics and Automation Letters, 5 (4), pp. 6239 - 6246, 2020. (Abstract | Links | BibTeX) @article{jesse_neuroevolution_divLanding,
title = {Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs},
author = {J.J. Hagenaars, F. Paredes-Vallés, S.M. Bohté, G.C.H.E. de Croon},
url = {https://ieeexplore.ieee.org/abstract/document/9149674/metrics#metrics},
doi = {10.1109/LRA.2020.3012129},
year = {2020},
date = {2020-10-04},
journal = {IEEE Robotics and Automation Letters},
volume = {5},
number = {4},
pages = { 6239 - 6246},
abstract = {Flying insects are capable of vision-based navigation in cluttered environments, reliably avoiding obstacles through fast and agile maneuvers, while being very efficient in the processing of visual stimuli. Meanwhile, autonomous micro air vehicles still lag far behind their biological counterparts, displaying inferior performance at a much higher energy consumption. In light of this, we want to mimic flying insects in terms of their processing capabilities, and consequently show the efficiency of this approach in the real world. This letter does so through evolving spiking neural networks for controlling landings of micro air vehicles using optical flow divergence from a downward-looking camera. We demonstrate that the resulting neuromorphic controllers transfer robustly from a highly abstracted simulation to the real world, performing fast and safe landings while keeping network spike rate minimal. Furthermore, we provide insight into the resources required for successfully solving the problem of divergence-based landing, showing that high-resolution control can be learned with only a single spiking neuron. To the best of our knowledge, this work is the first to integrate spiking neural networks in the control loop of a real-world flying robot. Videos of the experiments can be found at https://bit.ly/neuro-controller.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Flying insects are capable of vision-based navigation in cluttered environments, reliably avoiding obstacles through fast and agile maneuvers, while being very efficient in the processing of visual stimuli. Meanwhile, autonomous micro air vehicles still lag far behind their biological counterparts, displaying inferior performance at a much higher energy consumption. In light of this, we want to mimic flying insects in terms of their processing capabilities, and consequently show the efficiency of this approach in the real world. This letter does so through evolving spiking neural networks for controlling landings of micro air vehicles using optical flow divergence from a downward-looking camera. We demonstrate that the resulting neuromorphic controllers transfer robustly from a highly abstracted simulation to the real world, performing fast and safe landings while keeping network spike rate minimal. Furthermore, we provide insight into the resources required for successfully solving the problem of divergence-based landing, showing that high-resolution control can be learned with only a single spiking neuron. To the best of our knowledge, this work is the first to integrate spiking neural networks in the control loop of a real-world flying robot. Videos of the experiments can be found at https://bit.ly/neuro-controller. |
C. De Wagter; B. Remes; R. Ruijsink; F. van Tienen; E. van der Horst Design and testing of a vertical take-off and landing uav optimized for carrying a hydrogen fuel cell with a pressure tank (Journal Article) Unmanned systems, 08 (04), pp. 279-285, 2020. (Links | BibTeX) @article{us2020,
title = {Design and testing of a vertical take-off and landing uav optimized for carrying a hydrogen fuel cell with a pressure tank},
author = {C. De Wagter and B. Remes and R. Ruijsink and F. van Tienen and E. van der Horst},
doi = {10.1142/S2301385020500223},
year = {2020},
date = {2020-10-01},
journal = {Unmanned systems},
volume = {08},
number = {04},
pages = {279-285},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Guido de Croon Flapping wing drones show off their skills (Journal Article) Science Robotics, 5 (24), 2020. (Abstract | Links | BibTeX) @article{commentary_science,
title = {Flapping wing drones show off their skills},
author = {Guido de Croon},
url = {http://robotics.sciencemag.org/cgi/content/full/5/44/eabd0233?ijkey=w4kqkh4vD3UwU&keytype=ref&siteid=robotics},
year = {2020},
date = {2020-07-22},
journal = {Science Robotics},
volume = {5},
number = {24},
abstract = {The identification and solution of a major efficiency loss in small flapping wing drones lead to more agile aerobatic maneuvers.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The identification and solution of a major efficiency loss in small flapping wing drones lead to more agile aerobatic maneuvers. |
Shuo Li, Erik van der Horst, Philipp Duernay, Christophe De Wagter, Guido C. H. E. de Croon Visual model‐predictive localization for computationally efficient autonomous racing of a 72‐g drone (Journal Article) Journal of Field Robotics, 37 (4), pp. 667-692, 2020. (Links | BibTeX) @article{li2020racing72g,
title = {Visual model‐predictive localization for computationally efficient autonomous racing of a 72‐g drone},
author = {Shuo Li, Erik van der Horst, Philipp Duernay, Christophe De Wagter, Guido C. H. E. de Croon},
doi = {10.1002/rob.21956},
year = {2020},
date = {2020-05-08},
journal = {Journal of Field Robotics},
volume = {37},
number = {4},
pages = {667-692},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mario Coppola, Kimberly N. McGuire, Christophe De Wagter; Guido C. H. E. de Croon A Survey on Swarming With Micro Air Vehicles: Fundamental Challenges and Constraints (Journal Article) Frontiers in Robotics and AI, 2020. (Links | BibTeX) @article{frontiers_survey,
title = {A Survey on Swarming With Micro Air Vehicles: Fundamental Challenges and Constraints},
author = { Mario Coppola, Kimberly N. McGuire, Christophe De Wagter and Guido C. H. E. de Croon},
url = {https://www.frontiersin.org/articles/10.3389/frobt.2020.00018/full},
year = {2020},
date = {2020-02-25},
journal = {Frontiers in Robotics and AI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Kirk Y W Scheper; Guido de Croon Evolution of robust high speed optical-flow-based landing for autonomous MAVs (Journal Article) Robotics and Autonomous Systems, 124 , 2020, ISSN: 0921-8890. (Links | BibTeX) @article{9a283c0ce100493190e8b39ed1bad552,
title = {Evolution of robust high speed optical-flow-based landing for autonomous MAVs},
author = {{Kirk Y W } Scheper and Guido {de Croon}},
url = {https://research.tudelft.nl/en/publications/evolution-of-robust-high-speed-optical-flow-based-landing-for-aut},
doi = {10.1016/j.robot.2019.103380},
issn = {0921-8890},
year = {2020},
date = {2020-02-01},
journal = {Robotics and Autonomous Systems},
volume = {124},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Diana A Olejnik; Bardienus P Duisterhof; Matej Kar á; Kirk Y W Scheper; Tom Van Dijk; Guido C H E De Croon A Tailless Flapping Wing MAV Performing Monocular Visual Servoing Tasks (Journal Article) Unmanned Systems, 8 (4), pp. 287–294, 2020, ISSN: 2301-3850. (Links | BibTeX) @article{8c20c8bdc06f4e7b81bcbc4b52319049,
title = {A Tailless Flapping Wing MAV Performing Monocular Visual Servoing Tasks},
author = {{Diana A } Olejnik and {Bardienus P } Duisterhof and Matej Kar á and {Kirk Y W } Scheper and Tom {Van Dijk} and {Guido C H E } {De Croon}},
url = {https://research.tudelft.nl/en/publications/a-tailless-flapping-wing-mav-performing-monocular-visual-servoing},
doi = {10.1142/S2301385020500235},
issn = {2301-3850},
year = {2020},
date = {2020-01-01},
journal = {Unmanned Systems},
volume = {8},
number = {4},
pages = {287--294},
publisher = {World Scientific Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Borrdephong Rattanagraikanakorn; Michiel Schuurman; Derek I Gransden; Riender Happee; Christophe De Wagter; Alexei Sharpanskykh; Henk A P Blom Modelling head injury due to unmanned aircraft systems collision: Crash dummy vs human body (Journal Article) International Journal of Crashworthiness, 2020, ISSN: 1358-8265. (Links | BibTeX) @article{203dfada656a40cfbf6650a5c9583782,
title = {Modelling head injury due to unmanned aircraft systems collision: Crash dummy vs human body},
author = {Borrdephong Rattanagraikanakorn and Michiel Schuurman and {Derek I } Gransden and Riender Happee and Christophe {De Wagter} and Alexei Sharpanskykh and {Henk A P } Blom},
url = {https://research.tudelft.nl/en/publications/modelling-head-injury-due-to-unmanned-aircraft-systems-collision--2},
doi = {10.1080/13588265.2020.1807687},
issn = {1358-8265},
year = {2020},
date = {2020-01-01},
journal = {International Journal of Crashworthiness},
publisher = {Taylor & Francis},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Nikhil D Potdar; Guido C H E de Croon; Javier Alonso-Mora Online trajectory planning and control of a MAV payload system in dynamic environments (Journal Article) Autonomous Robots, 44 (6), pp. 1065–1089, 2020, ISSN: 0929-5593. (Links | BibTeX) @article{6232384ed01947c7b1bc000e202acdec,
title = {Online trajectory planning and control of a MAV payload system in dynamic environments},
author = {{Nikhil D } Potdar and {Guido C H E } {de Croon} and Javier Alonso-Mora},
url = {https://research.tudelft.nl/en/publications/online-trajectory-planning-and-control-of-a-mav-payload-system-in},
doi = {10.1007/s10514-020-09919-8},
issn = {0929-5593},
year = {2020},
date = {2020-01-01},
journal = {Autonomous Robots},
volume = {44},
number = {6},
pages = {1065--1089},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Shuo Li; Erik van der Horst; Philipp Duernay; Christophe De Wagter; Guido C H E de Croon Visual model-predictive localization for computationally efficient autonomous racing of a 72-g drone (Journal Article) Journal of Field Robotics, 37 (4), pp. 667–692, 2020, ISSN: 1556-4967. (Links | BibTeX) @article{98d2c0940f87429991b970a11d96d3dd,
title = {Visual model-predictive localization for computationally efficient autonomous racing of a 72-g drone},
author = {Shuo Li and Erik {van der Horst} and Philipp Duernay and Christophe {De Wagter} and {Guido C H E } {de Croon}},
url = {https://research.tudelft.nl/en/publications/visual-model-predictive-localization-for-computationally-efficien},
doi = {10.1002/rob.21956},
issn = {1556-4967},
year = {2020},
date = {2020-01-01},
journal = {Journal of Field Robotics},
volume = {37},
number = {4},
pages = {667--692},
publisher = {Wiley},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ewoud Smeur; Murat Bronz; Guido de Croon Incremental Control and Guidance of Hybrid Aircraft Applied to a Tailsitter Unmanned Air Vehicle (Journal Article) Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control, 43 (2), pp. 274–287, 2020, ISSN: 0731-5090. (Links | BibTeX) @article{28cd0fb3e4134c99a0b9b01f94dac72e,
title = {Incremental Control and Guidance of Hybrid Aircraft Applied to a Tailsitter Unmanned Air Vehicle},
author = {Ewoud Smeur and Murat Bronz and Guido {de Croon}},
url = {https://research.tudelft.nl/en/publications/incremental-control-and-guidance-of-hybrid-aircraft-applied-to-a-},
doi = {10.2514/1.G004520},
issn = {0731-5090},
year = {2020},
date = {2020-01-01},
journal = {Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control},
volume = {43},
number = {2},
pages = {274--287},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
D N W M Heitzig; B W van Oudheusden; D Olejnik; Kar M á Effects of asymmetrical inflow in forward flight on the deformation of interacting flapping wings (Journal Article) International Journal of Micro Air Vehicles, 12 , 2020, ISSN: 1756-8293. (Links | BibTeX) @article{96805b641c6b417b9c86263f5119d7e7,
title = {Effects of asymmetrical inflow in forward flight on the deformation of interacting flapping wings},
author = {{D N W M } Heitzig and {B W } {van Oudheusden} and D Olejnik and Kar M á},
url = {https://research.tudelft.nl/en/publications/effects-of-asymmetrical-inflow-in-forward-flight-on-the-deformati-2},
doi = {10.1177/1756829320941002},
issn = {1756-8293},
year = {2020},
date = {2020-01-01},
journal = {International Journal of Micro Air Vehicles},
volume = {12},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Books
|
Tom van Dijk Self-Supervised Learning for Visual Obstacle Avoidance (Book) Micro Air Vehicle Lab (MAVLab), TU Delft, 2020. (Links | BibTeX) @book{bf982743f04349c1a50212f3a91b739e,
title = {Self-Supervised Learning for Visual Obstacle Avoidance},
author = {Tom {van Dijk}},
url = {https://research.tudelft.nl/en/publications/self-supervised-learning-for-visual-obstacle-avoidance},
year = {2020},
date = {2020-03-01},
publisher = {Micro Air Vehicle Lab (MAVLab), TU Delft},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
|
Inproceedings
|
Shuo Li; Ekin Ozturk; Christophe De Wagter; Guido C H E De Croon; Dario Izzo Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles (Inproceedings) 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, pp. 6282–6287, Institute of Electrical and Electronics Engineers (IEEE), United States, 2020, (2020 IEEE International Conference on Robotics and Automation, ICRA 2020 ; Conference date: 31-05-2020 Through 31-08-2020). (Links | BibTeX) @inproceedings{ecf96e3ce2684b1cb1b34094ba84c042,
title = {Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles},
author = {Shuo Li and Ekin Ozturk and Christophe {De Wagter} and {Guido C H E } {De Croon} and Dario Izzo},
url = {https://research.tudelft.nl/en/publications/aggressive-online-control-of-a-quadrotor-via-deep-network-represe},
doi = {10.1109/ICRA40945.2020.9197443},
year = {2020},
date = {2020-05-01},
booktitle = {2020 IEEE International Conference on Robotics and Automation, ICRA 2020},
pages = {6282--6287},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
address = {United States},
series = {Proceedings - IEEE International Conference on Robotics and Automation},
note = {2020 IEEE International Conference on Robotics and Automation, ICRA 2020 ; Conference date: 31-05-2020 Through 31-08-2020},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
J B W Nijboer; S F Armanini; Kar M á; C C de Visser Longitudinal grey-box model identification of a tailless flapping wing mav based on free-flight data (Inproceedings) AIAA Scitech 2020 Forum, American Institute of Aeronautics and Astronautics Inc. (AIAA), United States, 2020, (AIAA Scitech Forum, 2020 ; Conference date: 06-01-2020 Through 10-01-2020). (Links | BibTeX) @inproceedings{ef42b13b070845d78776d14f9286e6c1,
title = {Longitudinal grey-box model identification of a tailless flapping wing mav based on free-flight data},
author = {{J B W } Nijboer and {S F } Armanini and Kar M á and {C C } {de Visser}},
url = {https://research.tudelft.nl/en/publications/longitudinal-grey-box-model-identification-of-a-tailless-flapping},
doi = {10.2514/6.2020-1964},
year = {2020},
date = {2020-01-01},
booktitle = {AIAA Scitech 2020 Forum},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
address = {United States},
series = {AIAA Scitech 2020 Forum},
note = {AIAA Scitech Forum, 2020 ; Conference date: 06-01-2020 Through 10-01-2020},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
B Rattanagraikanakorn; H A P Blom; Alexei Sharpanskykh; C de Wagter; C Jiang; M J Schuurman; Derek I Gransden; R Happee Modeling and Simulating Human Fatality due to Quadrotor UAS Impact (Inproceedings) AIAA AVIATION 2020 FORUM, 2020, (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.; AIAA Aviation Forum ; Conference date: 15-06-2020 Through 19-06-2020). (Links | BibTeX) @inproceedings{c7eb69bec7af4d15b40d3efeb0fc5ae6,
title = {Modeling and Simulating Human Fatality due to Quadrotor UAS Impact},
author = {B Rattanagraikanakorn and H A P Blom and Alexei Sharpanskykh and C {de Wagter} and C Jiang and M J Schuurman and {Derek I } Gransden and R Happee},
url = {https://research.tudelft.nl/en/publications/modeling-and-simulating-human-fatality-due-to-quadrotor-uas-impac},
doi = {10.2514/6.2020-2902},
year = {2020},
date = {2020-01-01},
booktitle = {AIAA AVIATION 2020 FORUM},
series = {AIAA AVIATION 2020 FORUM},
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.; AIAA Aviation Forum ; Conference date: 15-06-2020 Through 19-06-2020},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Masters Theses
|
Jesse Hagenaars Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs (Masters Thesis) Delft University of Technology, 2020. (Links | BibTeX) @mastersthesis{Hagenaars2020,
title = {Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs},
author = {Jesse Hagenaars},
url = {http://resolver.tudelft.nl/uuid:48040e88-f507-4676-a5da-2b701a07f387},
year = {2020},
date = {2020-01-01},
address = {Delft, NL},
school = {Delft University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
|
Federico Paredes Valles Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation (Masters Thesis) Delft University of Technology, 2020. (Links | BibTeX) @mastersthesis{ParadesValles2020,
title = {Neuromorphic Computing of Event-Based Data for High-Speed Vision-Based Navigation},
author = {Federico Paredes Valles},
url = {http://resolver.tudelft.nl/uuid:aa13959b-79b9-4dfc-b5e0-7c501d9d3e2f7},
year = {2020},
date = {2020-01-01},
address = {Delft, NL},
school = {Delft University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
|
Miscellaneous
|
Christophe De Wagter; Bart Remes; Ewoud Smeur; Freek van Tienen; Rick Ruijsink; Kevin van Hecke; Erik van der Horst
The NederDrone: A hybrid lift, hybrid energy hydrogen UAV (Miscellaneous) 2020. (Links | BibTeX) @misc{arXiv_Ned_2020,
title = {The NederDrone: A hybrid lift, hybrid energy hydrogen UAV},
author = {Christophe De Wagter and Bart Remes and Ewoud Smeur and Freek van Tienen and Rick Ruijsink and Kevin van Hecke and Erik van der Horst
},
url = {https://arxiv.org/pdf/2011.03991.pdf
https://arxiv.org/abs/2011.03991},
year = {2020},
date = {2020-11-10},
journal = {CoRR},
number = {arXiv:2011.03991},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Julien Dupeyroux; Jesse Hagenaars; Federico Paredes-Vallés; Guido de Croon Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor (Miscellaneous) 2020. (Links | BibTeX) @misc{2011.00534,
title = {Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor},
author = {Julien Dupeyroux and Jesse Hagenaars and Federico Paredes-Vallés and Guido de Croon},
url = {https://arxiv.org/abs/2011.00534},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Shushuai Li; Mario Coppola; Christophe De Wagter; Guido C H E de Croon An autonomous swarm of micro flying robots with range-based relative localization (Miscellaneous) 2020. (Links | BibTeX) @misc{2003.05853,
title = {An autonomous swarm of micro flying robots with range-based relative localization},
author = {Shushuai Li and Mario Coppola and Christophe De Wagter and Guido C H E de Croon},
url = {https://arxiv.org/abs/2003.05853},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
A Narasimhan; C C de Visser; C de Wagter; M Rischmueller Fault Tolerant Control of Multirotor UAV for Piloted Outdoor Flights (Miscellaneous) 2020. (Links | BibTeX) @misc{2011.00481,
title = {Fault Tolerant Control of Multirotor UAV for Piloted Outdoor Flights},
author = {A Narasimhan and C C de Visser and C de Wagter and M Rischmueller},
url = {https://arxiv.org/abs/2011.00481},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
PhD Theses
|
S Li Visual Navigation and Optimal Control for Autonomous Drone Racing (PhD Thesis) Delft University of Technology, 2020, ISBN: 978-94-6384-175-7. (Links | BibTeX) @phdthesis{07641fdf5c874417ad7ce4232bd49570,
title = {Visual Navigation and Optimal Control for Autonomous Drone Racing},
author = {S Li},
url = {https://research.tudelft.nl/en/publications/visual-navigation-and-optimal-control-for-autonomous-drone-racing},
doi = {10.4233/uuid:07641fdf-5c87-4417-ad7c-e4232bd49570},
isbn = {978-94-6384-175-7},
year = {2020},
date = {2020-01-01},
school = {Delft University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
|
2019
|
Journal Articles
|
S Li; C De Wagter; G C H E de Croon Unsupervised Tuning of Filter Parameters Without Ground-Truth Applied to Aerial Robots (Journal Article) IEEE Robotics and Automation Letters, 4 (4), pp. 4102-4107, 2019, ISSN: 2377-3766. (Links | BibTeX) @article{shushuai2019unsupervised,
title = {Unsupervised Tuning of Filter Parameters Without Ground-Truth Applied to Aerial Robots},
author = {S Li and C De Wagter and G C H E de Croon},
url = {https://ieeexplore.ieee.org/abstract/document/8770074},
doi = {10.1109/LRA.2019.2930480},
issn = {2377-3766},
year = {2019},
date = {2019-10-01},
journal = {IEEE Robotics and Automation Letters},
volume = {4},
number = {4},
pages = {4102-4107},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ewoud J. J. Smeur, Murat Bronz, Guido C. H. E. de Croon Incremental Control and Guidance of Hybrid Aircraft Applied to a Tailsitter Unmanned Air Vehicle (Journal Article) Journal of Guidance, Control, and Dynamics, 43 (2), 2019. (Links | BibTeX) @article{smeur2019incremental,
title = {Incremental Control and Guidance of Hybrid Aircraft Applied to a Tailsitter Unmanned Air Vehicle},
author = {Ewoud J. J. Smeur, Murat Bronz, Guido C. H. E. de Croon},
doi = {10.2514/1.G004520},
year = {2019},
date = {2019-09-17},
journal = {Journal of Guidance, Control, and Dynamics},
volume = {43},
number = {2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
M Coppola; J Guo; E Gill; G C H E de Croon The PageRank algorithm as a method to optimize swarm behavior through local analysis (Journal Article) Swarm Intelligence, 2019, ISSN: 1935-3820. (Links | BibTeX) @article{coppola2019pagerank,
title = {The PageRank algorithm as a method to optimize swarm behavior through local analysis},
author = {M Coppola and J Guo and E Gill and G C H E de Croon},
url = {https://link.springer.com/article/10.1007/s11721-019-00172-z},
issn = {1935-3820},
year = {2019},
date = {2019-08-23},
journal = {Swarm Intelligence},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
S F Armanini; J V Caetano; C C de Visser; M D Pavel; G C H E de Croon; M Mulder Modelling wing wake and tail aerodynamics of a flapping-wing micro aerial vehicle (Journal Article) International Journal of Micro Air Vehicles, 11 , 2019, ISSN: 1756-8293. (Links | BibTeX) @article{0d5929e23c0e4f4b8bb2e7ee5b1e9b6a,
title = {Modelling wing wake and tail aerodynamics of a flapping-wing micro aerial vehicle},
author = {{S F } Armanini and {J V } Caetano and {C C } {de Visser} and {M D } Pavel and {G C H E } {de Croon} and M Mulder},
url = {https://research.tudelft.nl/en/publications/modelling-wing-wake-and-tail-aerodynamics-of-a-flapping-wing-micr},
doi = {10.1177/1756829319833674},
issn = {1756-8293},
year = {2019},
date = {2019-03-05},
journal = {International Journal of Micro Air Vehicles},
volume = {11},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Federico Paredes-Vallés; Kirk Y W Scheper; Guido C H E de Croon Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception (Journal Article) IEEE Ŧransactions on Pattern Analysis and Machine Intelligence, 2019, ISSN: 1939-3539. (Links | BibTeX) @article{ParedesValles2019tpami,
title = {Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception},
author = {Federico Paredes-Vallés and Kirk Y W Scheper and Guido C H E de Croon},
url = {https://doi.org/10.1109/TPAMI.2019.2903179},
doi = {10.1109/TPAMI.2019.2903179},
issn = {1939-3539},
year = {2019},
date = {2019-03-05},
journal = {IEEE Ŧransactions on Pattern Analysis and Machine Intelligence},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Fede Paredes Valles; Kirk Scheper; Guido de Croon Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception (Journal Article) IEEE Transactions on Pattern Analysis and Machine Intelligence, 42 (2020) (8), pp. 2051–2064, 2019, ISSN: 0162-8828. (Links | BibTeX) @article{160fcfa507614338ba72f8cf914add6a,
title = {Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception},
author = {Fede {Paredes Valles} and Kirk Scheper and Guido {de Croon}},
url = {https://research.tudelft.nl/en/publications/unsupervised-learning-of-a-hierarchical-spiking-neural-network-fo},
doi = {10.1109/TPAMI.2019.2903179},
issn = {0162-8828},
year = {2019},
date = {2019-03-01},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {42 (2020)},
number = {8},
pages = {2051--2064},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Shuo Li; C De Wagter; C C de Visser; Q P Chu; G C H E de Croon In-flight model parameter and state estimation using gradient descent for high-speed flight (Journal Article) International Journal of Micro Air Vehicles, 11 , 2019, ISSN: 1756-8293. (Links | BibTeX) @article{63ea9fb6ed044cb2b7a1ae0efdabfa48,
title = {In-flight model parameter and state estimation using gradient descent for high-speed flight},
author = {Shuo Li and C {De Wagter} and {C C } {de Visser} and {Q P } Chu and {G C H E } {de Croon}},
url = {https://research.tudelft.nl/en/publications/in-flight-model-parameter-and-state-estimation-using-gradient-des},
doi = {10.1177/1756829319833685},
issn = {1756-8293},
year = {2019},
date = {2019-03-01},
journal = {International Journal of Micro Air Vehicles},
volume = {11},
publisher = {Multi-Science Publishing Co. Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Borrdephong Rattanagraikanakorn; Derek I Gransden; Michiel Schuurman; Christophe de Wagter; Riender Happee; Alexei Sharpanskykh; Henk Blom Multibody system modelling of unmanned aircraft system collisions with the human head (Journal Article) International Journal of Crashworthiness, 25 (2020) (6), pp. 689–707, 2019, ISSN: 1358-8265. (Links | BibTeX) @article{314cb2eb87994cb7959fc86fcba86450,
title = {Multibody system modelling of unmanned aircraft system collisions with the human head},
author = {Borrdephong Rattanagraikanakorn and {Derek I } Gransden and Michiel Schuurman and Christophe {de Wagter} and Riender Happee and Alexei Sharpanskykh and Henk Blom},
url = {https://research.tudelft.nl/en/publications/multibody-system-modelling-of-unmanned-aircraft-system-collisions},
doi = {10.1080/13588265.2019.1633818},
issn = {1358-8265},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Crashworthiness},
volume = {25 (2020)},
number = {6},
pages = {689--707},
publisher = {Taylor & Francis},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
K M Kajak; Kar M á; Q P Chu; G C H E de Croon A minimal longitudinal dynamic model of a tailless flapping wing robot for control design (Journal Article) Bioinspiration & Biomimetics: learning from nature, 14 (4), 2019, ISSN: 1748-3182, (Accepted author manuscript). (Links | BibTeX) @article{c0c3ff543fff4e46b868e4b309cae41b,
title = {A minimal longitudinal dynamic model of a tailless flapping wing robot for control design},
author = {{K M } Kajak and Kar M á and {Q P } Chu and {G C H E } {de Croon}},
url = {https://research.tudelft.nl/en/publications/a-minimal-longitudinal-dynamic-model-of-a-tailless-flapping-wing-},
doi = {10.1088/1748-3190/ab1e0b},
issn = {1748-3182},
year = {2019},
date = {2019-01-01},
journal = {Bioinspiration & Biomimetics: learning from nature},
volume = {14},
number = {4},
publisher = {IOP Publishing},
note = {Accepted author manuscript},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
K N McGuire; C De Wagter; K Tuyls; H J Kappen; G C H E de Croon Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment (Journal Article) Science Robotics, 4 (35), 2019. (Links | BibTeX) @article{McGuireeaaw9710,
title = {Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment},
author = {K N McGuire and C De Wagter and K Tuyls and H J Kappen and G C H E de Croon},
url = {https://robotics.sciencemag.org/content/4/35/eaaw9710},
doi = {https://doi.org/10.1126/scirobotics.aaw9710},
year = {2019},
date = {2019-01-01},
journal = {Science Robotics},
volume = {4},
number = {35},
publisher = {Science Robotics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
K N McGuire; G C H E de Croon; K Tuyls A comparative study of bug algorithms for robot navigation (Journal Article) Robotics and Autonomous Systems, 121 , pp. 103261, 2019, ISSN: 0921-8890. (Abstract | Links | BibTeX) @article{MCGUIRE20191bugalgorithms,
title = {A comparative study of bug algorithms for robot navigation},
author = {K N McGuire and G C H E de Croon and K Tuyls},
url = {http://www.sciencedirect.com/science/article/pii/S0921889018306687},
doi = {https://doi.org/10.1016/j.robot.2019.103261},
issn = {0921-8890},
year = {2019},
date = {2019-01-01},
journal = {Robotics and Autonomous Systems},
volume = {121},
pages = {103261},
abstract = {This paper presents a literature survey and a comparative study of Bug Algorithms, with the goal of investigating their potential for robotic navigation. At first sight, these methods seem to provide an efficient navigation paradigm, ideal for implementations on tiny robots with limited resources. Closer inspection, however, shows that many of these Bug Algorithms assume perfect global position estimate of the robot which in GPS-denied environments implies considerable expenses of computation and memory — relying on accurate Simultaneous Localization And Mapping (SLAM) or Visual Odometry (VO) methods. We compare a selection of Bug Algorithms in a simulated robot and environment where they endure different types noise and failure-cases of their on-board sensors. From the simulation results, we conclude that the implemented Bug Algorithms’ performances are sensitive to many types of sensor-noise, which was most noticeable for odometry-drift. This raises the question if Bug Algorithms are suitable for real-world, on-board, robotic navigation as is. Variations that use multiple sensors to keep track of their progress towards the goal, were more adept in completing their task in the presence of sensor-failures. This shows that Bug Algorithms must spread their risk, by relying on the readings of multiple sensors, to be suitable for real-world deployment.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper presents a literature survey and a comparative study of Bug Algorithms, with the goal of investigating their potential for robotic navigation. At first sight, these methods seem to provide an efficient navigation paradigm, ideal for implementations on tiny robots with limited resources. Closer inspection, however, shows that many of these Bug Algorithms assume perfect global position estimate of the robot which in GPS-denied environments implies considerable expenses of computation and memory — relying on accurate Simultaneous Localization And Mapping (SLAM) or Visual Odometry (VO) methods. We compare a selection of Bug Algorithms in a simulated robot and environment where they endure different types noise and failure-cases of their on-board sensors. From the simulation results, we conclude that the implemented Bug Algorithms’ performances are sensitive to many types of sensor-noise, which was most noticeable for odometry-drift. This raises the question if Bug Algorithms are suitable for real-world, on-board, robotic navigation as is. Variations that use multiple sensors to keep track of their progress towards the goal, were more adept in completing their task in the presence of sensor-failures. This shows that Bug Algorithms must spread their risk, by relying on the readings of multiple sensors, to be suitable for real-world deployment. |
Christophe De Wagter; Joost Meulenbeld Modeling the unstable DelftaCopter vertical take-off and landing tailsitter unmanned air vehicle in hover and forward flight from flight test data (Journal Article) International Journal of Micro Air Vehicles, 11 , pp. 1756829319880302, 2019. (Links | BibTeX) @article{dewagter2019delftacoptermodeling,
title = {Modeling the unstable DelftaCopter vertical take-off and landing tailsitter unmanned air vehicle in hover and forward flight from flight test data},
author = {Christophe De Wagter and Joost Meulenbeld},
url = {https://doi.org/10.1177/1756829319880302},
doi = {10.1177/1756829319880302},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Micro Air Vehicles},
volume = {11},
pages = {1756829319880302},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Matěj Karásek; Mustafa Percin; Torbjørn Cunis; Bas W van Oudheusden; Christophe De Wagter; Bart DW Remes; Guido CHE de Croon Accurate position control of a flapping-wing robot enabling free-flight flow visualisation in a wind tunnel (Journal Article) International Journal of Micro Air Vehicles, 11 , pp. 1756829319833683, 2019. (Links | BibTeX) @article{karasek2019positioncontrolfwmav,
title = {Accurate position control of a flapping-wing robot enabling free-flight flow visualisation in a wind tunnel},
author = {Matěj Karásek and Mustafa Percin and Torbjørn Cunis and Bas W van Oudheusden and Christophe De Wagter and Bart DW Remes and Guido CHE de Croon},
url = {https://doi.org/10.1177/1756829319833683},
doi = {10.1177/1756829319833683},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Micro Air Vehicles},
volume = {11},
pages = {1756829319833683},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Hyungpil Moon; Jose Martinez-Carranza; Titus Cieslewski; Matthias Faessler; Davide Falanga; Alessandro Simovic; Davide Scaramuzza; Shuo Li; Michael Ozo; Christophe De Wagter; others Challenges and implemented technologies used in autonomous drone racing (Journal Article) Intelligent Service Robotics, pp. 1–12, 2019. (BibTeX) @article{moon2019challenges,
title = {Challenges and implemented technologies used in autonomous drone racing},
author = {Hyungpil Moon and Jose Martinez-Carranza and Titus Cieslewski and Matthias Faessler and Davide Falanga and Alessandro Simovic and Davide Scaramuzza and Shuo Li and Michael Ozo and Christophe De Wagter and others},
year = {2019},
date = {2019-01-01},
journal = {Intelligent Service Robotics},
pages = {1--12},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
M Coppola; J Guo; E Gill; G C H E de Croon The PageRank algorithm as a method to optimize swarm behavior through local analysis (Journal Article) Swarm Intelligence, 13 (3-4), pp. 277–319, 2019, ISSN: 1935-3812. (Links | BibTeX) @article{6468bc8ea5e94fddacad7f1420d3bb0c,
title = {The PageRank algorithm as a method to optimize swarm behavior through local analysis},
author = {M Coppola and J Guo and E Gill and {G C H E } {de Croon}},
url = {https://research.tudelft.nl/en/publications/the-pagerank-algorithm-as-a-method-to-optimize-swarm-behavior-thr},
doi = {10.1007/s11721-019-00172-z},
issn = {1935-3812},
year = {2019},
date = {2019-01-01},
journal = {Swarm Intelligence},
volume = {13},
number = {3-4},
pages = {277--319},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Steven van der Helm; Mario Coppola; Kimberly N McGuire; Guido C H E de Croon On-board range-based relative localization for micro air vehicles in indoor leader–follower flight (Journal Article) Autonomous Robots, 2019, ISSN: 0929-5593. (Links | BibTeX) @article{44c98152cbe9434ea632253836f1a92f,
title = {On-board range-based relative localization for micro air vehicles in indoor leader–follower flight},
author = {Steven {van der Helm} and Mario Coppola and {Kimberly N } McGuire and {Guido C H E } {de Croon}},
url = {https://research.tudelft.nl/en/publications/on-board-range-based-relative-localization-for-micro-air-vehicles},
doi = {10.1007/s10514-019-09843-6},
issn = {0929-5593},
year = {2019},
date = {2019-01-01},
journal = {Autonomous Robots},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Mario Coppola; Jian Guo; Eberhard Gill; Guido C H E de Croon Provable self-organizing pattern formation by a swarm of robots with limited knowledge (Journal Article) Swarm Intelligence, 13 (1), pp. 59–94, 2019, ISSN: 1935-3812. (Links | BibTeX) @article{e84a1f517d3f4b59b9eaab4923607cf3,
title = {Provable self-organizing pattern formation by a swarm of robots with limited knowledge},
author = {Mario Coppola and Jian Guo and Eberhard Gill and {Guido C H E } {de Croon}},
url = {https://research.tudelft.nl/en/publications/provable-self-organizing-pattern-formation-by-a-swarm-of-robots-w},
doi = {10.1007/s11721-019-00163-0},
issn = {1935-3812},
year = {2019},
date = {2019-01-01},
journal = {Swarm Intelligence},
volume = {13},
number = {1},
pages = {59–94},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Conferences
|
Florian T Muijres; Matej Karasek; Christophe de Wagter; Bart Remes; Guido de Croon A Bio-inspired Free-flying Robot Reveals that Flies Use Torque Coupling in Rapid Banked Turns (Conference) 2019, (SICB Annual Meeting 2019 ; Conference date: 03-01-2019 Through 07-01-2019). (Links | BibTeX) @conference{56a1039fd7494063afebf73be3248787,
title = {A Bio-inspired Free-flying Robot Reveals that Flies Use Torque Coupling in Rapid Banked Turns},
author = {{Florian T } Muijres and Matej Karasek and Christophe {de Wagter} and Bart Remes and Guido {de Croon}},
url = {https://research.tudelft.nl/en/publications/a-bio-inspired-free-flying-robot-reveals-that-flies-use-torque-co},
doi = {10.1093/icb/icz003},
year = {2019},
date = {2019-01-01},
pages = {E164--E164},
note = {SICB Annual Meeting 2019 ; Conference date: 03-01-2019 Through 07-01-2019},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Inproceedings
|
Tom van Dijk; Guido de Croon How Do Neural Networks See Depth in Single Images? (Inproceedings) The IEEE International Conference on Computer Vision (ICCV), pp. 2183–2191, 2019, (The IEEE International Conference on Computer Vision 2019, ICCV ; Conference date: 27-10-2019 Through 02-11-2019). (Links | BibTeX) @inproceedings{fbe6b0d4cd10450197da2e6f77f7f4cd,
title = {How Do Neural Networks See Depth in Single Images?},
author = {Tom {van Dijk} and Guido {de Croon}},
url = {https://research.tudelft.nl/en/publications/how-do-neural-networks-see-depth-in-single-images},
year = {2019},
date = {2019-10-01},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
pages = {2183--2191},
note = {The IEEE International Conference on Computer Vision 2019, ICCV ; Conference date: 27-10-2019 Through 02-11-2019},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Diana A Olejnik; Bas P Duisterhof; Matej Kar á; Kirk Y W Scheper; Tom van Dijk; Guido C H E de Croon A Tailless Flapping Wing MAV Performing Monocular Visual Servoing Tasks (Inproceedings) Campoy, P (Ed.): 11th International Micro Air Vehicle Competition and Conference, pp. 60–66, Madrid, Spain, 2019. (BibTeX) @inproceedings{imav2019:d_olejnik_et_al,
title = {A Tailless Flapping Wing MAV Performing Monocular Visual Servoing Tasks},
author = {Diana A Olejnik and Bas P Duisterhof and Matej Kar á and Kirk Y W Scheper and Tom van Dijk and Guido C H E de Croon},
editor = {P Campoy},
year = {2019},
date = {2019-09-29},
booktitle = {11th International Micro Air Vehicle Competition and Conference},
pages = {60--66},
address = {Madrid, Spain},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
