2025
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Journal Articles
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Anton Bredenbeck; Cosimo Della Santina; Salua Hamaza Embodying Compliant Touch on Drones for Aerial Tactile Navigation (Journal Article) In: IEEE Robotics and Automation Letters, vol. 10, no. 2, pp. 1209–1216, 2025, 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{447f918a85d24cb28aed3c9a3879664f,
title = {Embodying Compliant Touch on Drones for Aerial Tactile Navigation},
author = {Anton Bredenbeck and Cosimo Della Santina and Salua Hamaza},
url = {https://research.tudelft.nl/en/publications/embodying-compliant-touch-on-drones-for-aerial-tactile-navigation},
doi = {10.1109/LRA.2024.3519888},
issn = {2377-3766},
year = {2025},
date = {2025-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {10},
number = {2},
pages = {1209–1216},
publisher = {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}
}
|
Yingfu Xu; Guido C. H. E. Croon CUAHN-VIO: Content-and-uncertainty-aware homography network for visual-inertial odometry (Journal Article) In: Robotics and Autonomous Systems, vol. 185, 2025, ISSN: 0921-8890. @article{7b1e7dd1814941d8a1d6560a3c1e9210,
title = {CUAHN-VIO: Content-and-uncertainty-aware homography network for visual-inertial odometry},
author = {Yingfu Xu and Guido C. H. E. Croon},
url = {https://research.tudelft.nl/en/publications/cuahn-vio-content-and-uncertainty-aware-homography-network-for-vi},
doi = {10.1016/j.robot.2024.104866},
issn = {0921-8890},
year = {2025},
date = {2025-01-01},
journal = {Robotics and Autonomous Systems},
volume = {185},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Till M. Blaha; Mike M. Kuijper; Radu Pop; Ewoud J. J. Smeur Rapid and Inexpensive Inertia Tensor Estimation From a Single Object Throw (Journal Article) In: IEEE Robotics and Automation Letters, vol. 10, no. 7, pp. 7365–7371, 2025, ISSN: 2377-3766. @article{7e290606fb3e4d37850e88b7bbc4fb15,
title = {Rapid and Inexpensive Inertia Tensor Estimation From a Single Object Throw},
author = {Till M. Blaha and Mike M. Kuijper and Radu Pop and Ewoud J. J. Smeur},
url = {https://research.tudelft.nl/en/publications/rapid-and-inexpensive-inertia-tensor-estimation-from-a-single-obj},
doi = {10.1109/LRA.2025.3575332},
issn = {2377-3766},
year = {2025},
date = {2025-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {10},
number = {7},
pages = {7365–7371},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Saeed Rafee Nekoo; Ramy Rashad; Christophe De Wagter; Sawyer B. Fuller; Guido de Croon; Stefano Stramigioli; Anibal Ollero A review on flapping-wing robots: Recent progress and challenges (Journal Article) In: International Journal of Robotics Research, 2025, ISSN: 0278-3649. @article{d158c0be0bef42ea935a597ebfbadd08,
title = {A review on flapping-wing robots: Recent progress and challenges},
author = {Saeed Rafee Nekoo and Ramy Rashad and Christophe De Wagter and Sawyer B. Fuller and Guido de Croon and Stefano Stramigioli and Anibal Ollero},
url = {https://research.tudelft.nl/en/publications/a-review-on-flapping-wing-robots-recent-progress-and-challenges},
doi = {10.1177/02783649251343638},
issn = {0278-3649},
year = {2025},
date = {2025-01-01},
journal = {International Journal of Robotics Research},
publisher = {SAGE Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Stephen Pringle; Martin Dallimer; Mark A. Goddard; Léni K. Le Goff; Emma Hart; Simon J. Langdale; Jessica C. Fisher; Sara Adela Abad; Salua Hamaza; More Authors Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age (Journal Article) In: Nature Ecology and Evolution, vol. 9, no. 6, pp. 1031–1042, 2025, ISSN: 2397-334X. @article{a7cf50f92fb6438fb4acf93deded5368,
title = {Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age},
author = {Stephen Pringle and Martin Dallimer and Mark A. Goddard and Léni K. Le Goff and Emma Hart and Simon J. Langdale and Jessica C. Fisher and Sara Adela Abad and Salua Hamaza and More Authors},
url = {https://research.tudelft.nl/en/publications/opportunities-and-challenges-for-monitoring-terrestrial-biodivers},
doi = {10.1038/s41559-025-02704-9},
issn = {2397-334X},
year = {2025},
date = {2025-01-01},
journal = {Nature Ecology and Evolution},
volume = {9},
number = {6},
pages = {1031–1042},
publisher = {Nature},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Tomaso Maria Luigi De Ponti; Ewoud Jan Jacob Smeur; Bart Diane Walter Remes Unified-Actuator Nonlinear Dynamic Inversion Controller for the Variable Skew Quad Plane (Journal Article) In: Journal of Guidance, Control, and Dynamics, vol. 48, no. 5, pp. 1167–1176, 2025, ISSN: 0731-5090, (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{c48c7b7e098d458bb13f20d6dd52a996,
title = {Unified-Actuator Nonlinear Dynamic Inversion Controller for the Variable Skew Quad Plane},
author = {Tomaso Maria Luigi De Ponti and Ewoud Jan Jacob Smeur and Bart Diane Walter Remes},
url = {https://research.tudelft.nl/en/publications/unified-actuator-nonlinear-dynamic-inversion-controller-for-the-v},
doi = {10.2514/1.G008659},
issn = {0731-5090},
year = {2025},
date = {2025-01-01},
journal = {Journal of Guidance, Control, and Dynamics},
volume = {48},
number = {5},
pages = {1167–1176},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
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}
}
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S. T. Hazelaar; C. Wang; C. Wagter; Florian T. Muijres; G. C. H. E. Croon; M. Yedutenko Bioinspired adaptive visual servoing control for quadrotors (Journal Article) In: Bioinspiration & Biomimetics: learning from nature, vol. 20, no. 3, 2025, ISSN: 1748-3182. @article{df12e022a92f4659828b01ab403bd169,
title = {Bioinspired adaptive visual servoing control for quadrotors},
author = {S. T. Hazelaar and C. Wang and C. Wagter and Florian T. Muijres and G. C. H. E. Croon and M. Yedutenko},
url = {https://research.tudelft.nl/en/publications/bioinspired-adaptive-visual-servoing-control-for-quadrotors},
doi = {10.1088/1748-3190/adcdde},
issn = {1748-3182},
year = {2025},
date = {2025-01-01},
journal = {Bioinspiration & Biomimetics: learning from nature},
volume = {20},
number = {3},
publisher = {IOP Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ziqing Ma; Ewoud J. J. Smeur; Guido C. H. E. De Croon Design and Control of A Tilt-Rotor Tailsitter Aircraft with Pivoting VTOL Capability (Journal Article) In: IEEE Robotics and Automation Letters, vol. 10, no. 6, pp. 5911 – 5918, 2025, 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{b2b63240d1094ef4baecc908662ead6c,
title = {Design and Control of A Tilt-Rotor Tailsitter Aircraft with Pivoting VTOL Capability},
author = {Ziqing Ma and Ewoud J. J. Smeur and Guido C. H. E. De Croon},
url = {https://research.tudelft.nl/en/publications/design-and-control-of-a-tilt-rotor-tailsitter-aircraft-with-pivot},
doi = {10.1109/LRA.2025.3563821},
issn = {2377-3766},
year = {2025},
date = {2025-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {10},
number = {6},
pages = {5911 – 5918},
publisher = {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}
}
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Yingfu Xu; Guangzhi Tang; Amirreza Yousefzadeh; Guido C. H. E. Croon; Manolis Sifalakis Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification (Journal Article) In: Neural Networks, vol. 188, 2025, ISSN: 0893-6080, (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{fecf91a178424291bcdd035befef450d,
title = {Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification},
author = {Yingfu Xu and Guangzhi Tang and Amirreza Yousefzadeh and Guido C. H. E. Croon and Manolis Sifalakis},
url = {https://research.tudelft.nl/en/publications/event-based-optical-flow-on-neuromorphic-processor-ann-vs-snn-com},
doi = {10.1016/j.neunet.2025.107447},
issn = {0893-6080},
year = {2025},
date = {2025-01-01},
journal = {Neural Networks},
volume = {188},
publisher = {Elsevier},
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}
}
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S. Stroobants; C. De Wagter; G. C. H. E. De Croon Neuromorphic Attitude Estimation and Control (Journal Article) In: IEEE Robotics and Automation Letters, vol. 10, no. 5, 2025, 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{681381df4e9848f1a3ea66fe874aee77,
title = {Neuromorphic Attitude Estimation and Control},
author = {S. Stroobants and C. De Wagter and G. C. H. E. De Croon},
url = {https://research.tudelft.nl/en/publications/neuromorphic-attitude-estimation-and-control},
doi = {10.1109/LRA.2025.3553418},
issn = {2377-3766},
year = {2025},
date = {2025-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {10},
number = {5},
publisher = {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}
}
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Jason Yik; Korneel Van den Berghe; Douwe Blanken; Younes Bouhadjar; Maxime Fabre; Aurora Micheli; Guido Croon; Nergis Tömen; Charlotte Frenkel; More Authors The neurobench framework for benchmarking neuromorphic computing algorithms and systems (Journal Article) In: Nature Communications, vol. 16, no. 1, 2025, ISSN: 2041-1723. @article{e136d1e3d5b8487d870f1053589e29d4,
title = {The neurobench framework for benchmarking neuromorphic computing algorithms and systems},
author = {Jason Yik and Korneel Van den Berghe and Douwe Blanken and Younes Bouhadjar and Maxime Fabre and Aurora Micheli and Guido Croon and Nergis Tömen and Charlotte Frenkel and More Authors},
url = {https://research.tudelft.nl/en/publications/the-neurobench-framework-for-benchmarking-neuromorphic-computing-},
doi = {10.1038/s41467-025-56739-4},
issn = {2041-1723},
year = {2025},
date = {2025-01-01},
journal = {Nature Communications},
volume = {16},
number = {1},
publisher = {Nature},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Hang Yu; Christophe De Wagter; Guido C. H. E. De Croon MAVRL: Learn to Fly in Cluttered Environments With Varying Speed (Journal Article) In: IEEE Robotics and Automation Letters, vol. 10, no. 2, pp. 1441–1448, 2025, 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{45143aecd9ac4771a01758dbaa4bc7b0,
title = {MAVRL: Learn to Fly in Cluttered Environments With Varying Speed},
author = {Hang Yu and Christophe De Wagter and Guido C. H. E. De Croon},
url = {https://research.tudelft.nl/en/publications/mavrl-learn-to-fly-in-cluttered-environments-with-varying-speed},
doi = {10.1109/LRA.2024.3522778},
issn = {2377-3766},
year = {2025},
date = {2025-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {10},
number = {2},
pages = {1441–1448},
publisher = {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}
}
|
Proceedings Articles
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Jane Pauline Ramirez; Rafael Dux; Salua Hamaza Continuum Twisted Tower Origami Landing Gear for Drones: Design, Modelling and Experiments (Proceedings Article) In: 2025 IEEE 8th International Conference on Soft Robotics, RoboSoft 2025, IEEE, United States, 2025, (8th IEEE International Conference on Soft Robotics, RoboSoft 2025 ; Conference date: 22-04-2025 Through 26-04-2025). @inproceedings{ff6b3500b7f74ebca5d5f15043760c3b,
title = {Continuum Twisted Tower Origami Landing Gear for Drones: Design, Modelling and Experiments},
author = {Jane Pauline Ramirez and Rafael Dux and Salua Hamaza},
url = {https://research.tudelft.nl/en/publications/continuum-twisted-tower-origami-landing-gear-for-drones-design-mo},
doi = {10.1109/RoboSoft63089.2025.11020912},
year = {2025},
date = {2025-01-01},
booktitle = {2025 IEEE 8th International Conference on Soft Robotics, RoboSoft 2025},
publisher = {IEEE},
address = {United States},
series = {2025 IEEE 8th International Conference on Soft Robotics, RoboSoft 2025},
note = {8th IEEE International Conference on Soft Robotics, RoboSoft 2025 ; Conference date: 22-04-2025 Through 26-04-2025},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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N. Wechtler; A. Mancinelli; E. J. J. Smeur Implications of Propeller-Wing Interactions on the Control of Aerodynamic-Surface-Free Tilt-Rotor Quad-Planes (Proceedings Article) In: Proceedings of the AIAA SCITECH 2025 Forum, 2025, (AIAA SCITECH 2025 Forum ; Conference date: 06-01-2025 Through 10-01-2025). @inproceedings{30551e90732c4ac0b4acf713a91a4bc7,
title = {Implications of Propeller-Wing Interactions on the Control of Aerodynamic-Surface-Free Tilt-Rotor Quad-Planes},
author = {N. Wechtler and A. Mancinelli and E. J. J. Smeur},
url = {https://research.tudelft.nl/en/publications/implications-of-propeller-wing-interactions-on-the-control-of-aer},
doi = {10.2514/6.2025-2129},
year = {2025},
date = {2025-01-01},
booktitle = {Proceedings of the AIAA SCITECH 2025 Forum},
series = {AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025},
note = {AIAA SCITECH 2025 Forum ; Conference date: 06-01-2025 Through 10-01-2025},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
A. Mancinelli; N. Voß; E. J. J. Smeur Fault Tolerant Control in Over-Actuated Hybrid Tilt-Rotor Unmanned Aerial Vehicles (Proceedings Article) In: AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025, American Institute of Aeronautics and Astronautics Inc. (AIAA), United States, 2025, (AIAA SCITECH 2025 Forum ; Conference date: 06-01-2025 Through 10-01-2025). @inproceedings{5339f527bf9d4471a2481cbb17cd30e2,
title = {Fault Tolerant Control in Over-Actuated Hybrid Tilt-Rotor Unmanned Aerial Vehicles},
author = {A. Mancinelli and N. Voß and E. J. J. Smeur},
url = {https://research.tudelft.nl/en/publications/fault-tolerant-control-in-over-actuated-hybrid-tilt-rotor-unmanne},
doi = {10.2514/6.2025-0317},
year = {2025},
date = {2025-01-01},
booktitle = {AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025},
publisher = {American Institute of Aeronautics and Astronautics Inc. (AIAA)},
address = {United States},
series = {AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025},
note = {AIAA SCITECH 2025 Forum ; Conference date: 06-01-2025 Through 10-01-2025},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
M. Homola; Y. Li; E. Kampen Uncertainty-Driven Distributional Reinforcement Learning for Flight Control (Proceedings Article) In: Proceedings of the AIAA SCITECH 2025 Forum, 2025, (AIAA SCITECH 2025 Forum ; Conference date: 06-01-2025 Through 10-01-2025). @inproceedings{2c8752c90cd5410ea9ce480544c26d63,
title = {Uncertainty-Driven Distributional Reinforcement Learning for Flight Control},
author = {M. Homola and Y. Li and E. Kampen},
url = {https://research.tudelft.nl/en/publications/uncertainty-driven-distributional-reinforcement-learning-for-flig},
doi = {10.2514/6.2025-2793},
year = {2025},
date = {2025-01-01},
booktitle = {Proceedings of the AIAA SCITECH 2025 Forum},
series = {AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025},
note = {AIAA SCITECH 2025 Forum ; Conference date: 06-01-2025 Through 10-01-2025},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
F. Larocque; T. M. L. De Ponti; B. D. W. Remes; E. J. J. Smeur Synthetic Air Data System for Pitot Tube Failure Detection on the Variable Skew Quad Plane (Proceedings Article) In: Proceedings of the AIAA SCITECH 2025 Forum, 2025, (AIAA SCITECH 2025 Forum ; Conference date: 06-01-2025 Through 10-01-2025). @inproceedings{026d75c98a8c4512ae59c9c271a453dc,
title = {Synthetic Air Data System for Pitot Tube Failure Detection on the Variable Skew Quad Plane},
author = {F. Larocque and T. M. L. De Ponti and B. D. W. Remes and E. J. J. Smeur},
url = {https://research.tudelft.nl/en/publications/synthetic-air-data-system-for-pitot-tube-failure-detection-on-the},
doi = {10.2514/6.2025-2609},
year = {2025},
date = {2025-01-01},
booktitle = {Proceedings of the AIAA SCITECH 2025 Forum},
series = {AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025},
note = {AIAA SCITECH 2025 Forum ; Conference date: 06-01-2025 Through 10-01-2025},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Miscellaneous
|
Youssef Farah; Federico Paredes-Vallés; Guido De Croon; Muhammad Ahmed Humais; Hussain Sajwani; Yahya Zweiri EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras (Miscellaneous) 2025. @misc{2506.06596,
title = {EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras},
author = {Youssef Farah and Federico Paredes-Vallés and Guido De Croon and Muhammad Ahmed Humais and Hussain Sajwani and Yahya Zweiri},
url = {https://arxiv.org/abs/2506.06596},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Hang Yu; Christophe De Wagter; Guido C. H. E Croon Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation (Miscellaneous) 2025. @misc{2505.12428,
title = {Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation},
author = {Hang Yu and Christophe De Wagter and Guido C. H. E Croon},
url = {https://arxiv.org/abs/2505.12428},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Stavrow A. Bahnam; Christophe De Wagter; Guido C. H. E. Croon Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling (Miscellaneous) 2025. @misc{2504.21695,
title = {Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling},
author = {Stavrow A. Bahnam and Christophe De Wagter and Guido C. H. E. Croon},
url = {https://arxiv.org/abs/2504.21695},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Robin Ferede; Till Blaha; Erin Lucassen; Christophe De Wagter; Guido C. H. E. Croon One Net to Rule Them All: Domain Randomization in Quadcopter Racing Across Different Platforms (Miscellaneous) 2025. @misc{2504.21586,
title = {One Net to Rule Them All: Domain Randomization in Quadcopter Racing Across Different Platforms},
author = {Robin Ferede and Till Blaha and Erin Lucassen and Christophe De Wagter and Guido C. H. E. Croon},
url = {https://arxiv.org/abs/2504.21586},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Elijah H. W. Ang; Christophe De Wagter; Guido C. H. E. Croon Multi-objective Evolution of Drone Morphology (Miscellaneous) 2025. @misc{2502.01197,
title = {Multi-objective Evolution of Drone Morphology},
author = {Elijah H. W. Ang and Christophe De Wagter and Guido C. H. E. Croon},
url = {https://arxiv.org/abs/2502.01197},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Till M. Blaha; Mike M. Kuijper; Radu Pop; Ewoud J. J. Smeur Rapid and Inexpensive Inertia Tensor Estimation from a Single Object Throw (Miscellaneous) 2025. @misc{2503.13137,
title = {Rapid and Inexpensive Inertia Tensor Estimation from a Single Object Throw},
author = {Till M. Blaha and Mike M. Kuijper and Radu Pop and Ewoud J. J. Smeur},
url = {https://arxiv.org/abs/2503.13137},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Utkarsh Bajpai; Julius Rückin; Cyrill Stachniss; Marija Popović Uncertainty-Informed Active Perception for Open Vocabulary Object Goal Navigation (Miscellaneous) 2025. @misc{2506.13367,
title = {Uncertainty-Informed Active Perception for Open Vocabulary Object Goal Navigation},
author = {Utkarsh Bajpai and Julius Rückin and Cyrill Stachniss and Marija Popović},
url = {https://arxiv.org/abs/2506.13367},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Xingguang Zhong; Yue Pan; Liren Jin; Marija Popović; Jens Behley; Cyrill Stachniss Globally Consistent RGB-D SLAM with 2D Gaussian Splatting (Miscellaneous) 2025. @misc{2506.00970,
title = {Globally Consistent RGB-D SLAM with 2D Gaussian Splatting},
author = {Xingguang Zhong and Yue Pan and Liren Jin and Marija Popović and Jens Behley and Cyrill Stachniss},
url = {https://arxiv.org/abs/2506.00970},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Sicong Pan; Liren Jin; Xuying Huang; Cyrill Stachniss; Marija Popović; Maren Bennewitz DM-OSVP++: One-Shot View Planning Using 3D Diffusion Models for Active RGB-Based Object Reconstruction (Miscellaneous) 2025. @misc{2504.11674,
title = {DM-OSVP++: One-Shot View Planning Using 3D Diffusion Models for Active RGB-Based Object Reconstruction},
author = {Sicong Pan and Liren Jin and Xuying Huang and Cyrill Stachniss and Marija Popović and Maren Bennewitz},
url = {https://arxiv.org/abs/2504.11674},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Rajitha Silva; Jonathan Cox; Marija Popovic; Cesar Cadena; Cyrill Stachniss; Riccardo Polvara Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments (Miscellaneous) 2025. @misc{2503.08843,
title = {Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments},
author = {Rajitha Silva and Jonathan Cox and Marija Popovic and Cesar Cadena and Cyrill Stachniss and Riccardo Polvara},
url = {https://arxiv.org/abs/2503.08843},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Jacob Swindell; Madeleine Darbyshire; Marija Popovic; Riccardo Polvara Discrete Gaussian Process Representations for Optimising UAV-based Precision Weed Mapping (Miscellaneous) 2025. @misc{2503.07210,
title = {Discrete Gaussian Process Representations for Optimising UAV-based Precision Weed Mapping},
author = {Jacob Swindell and Madeleine Darbyshire and Marija Popovic and Riccardo Polvara},
url = {https://arxiv.org/abs/2503.07210},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Yue Pan; Xingguang Zhong; Liren Jin; Louis Wiesmann; Marija Popović; Jens Behley; Cyrill Stachniss PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map (Miscellaneous) 2025. @misc{2502.05752,
title = {PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map},
author = {Yue Pan and Xingguang Zhong and Liren Jin and Louis Wiesmann and Marija Popović and Jens Behley and Cyrill Stachniss},
url = {https://arxiv.org/abs/2502.05752},
year = {2025},
date = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
2024
|
Journal Articles
|
Tom van Dijk; Christophe De Wagter; Guido C.H.E. de Croon Visual Route-following for Tiny Autonomous Robots (Journal Article) In: Science Robotics, vol. 9, no. 92, pp. eadk0310, 2024, ISSN: 2470-9476. @article{sr_vr,
title = {Visual Route-following for Tiny Autonomous Robots},
author = {Tom van Dijk and Christophe De Wagter and Guido C.H.E. de Croon},
url = {https://www.science.org/doi/abs/10.1126/scirobotics.adk0310},
doi = {10.1126/scirobotics.adk0310},
issn = {2470-9476},
year = {2024},
date = {2024-07-17},
urldate = {2024-07-17},
journal = {Science Robotics},
volume = {9},
number = {92},
pages = {eadk0310},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Dario Izzo; Emmanuel Blazquez; Robin Ferede; Sebastien Origer; Christophe De Wagter; Guido C. H. E. de Croon Optimality principles in spacecraft neural guidance and control (Journal Article) In: Science Robotics, vol. 9, iss. 91, no. 91, pp. eadi6421, 2024, ISSN: 2470-9476. @article{izzo_sr,
title = {Optimality principles in spacecraft neural guidance and control},
author = {Dario Izzo and Emmanuel Blazquez and Robin Ferede and Sebastien Origer and Christophe De Wagter and Guido C. H. E. de Croon},
doi = {10.1126/scirobotics.adi6421},
issn = {2470-9476},
year = {2024},
date = {2024-06-19},
urldate = {2024-06-19},
journal = {Science Robotics},
volume = {9},
number = {91},
issue = {91},
pages = {eadi6421},
abstract = {This Review discusses the main results obtained in training end-to-end neural architectures for guidance and control of interplanetary transfers, planetary landings, and close-proximity operations, highlighting the successful learning of optimality principles by the underlying neural models. Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the mission. Sensorimotor actions are thus often derived from high-level, quantifiable, optimality principles assigned to each task, using consolidated tools in optimal control theory. The planned actions are derived on the ground and transferred on board, where controllers have the task of tracking the uploaded guidance profile. Here, we review recent trends based on the use of end-to-end networks, called guidance and control networks (G&CNets), which allow spacecraft to depart from such an architecture and to embrace the onboard computation of optimal actions. In this way, the sensor information is transformed in real time into optimal plans, thus increasing mission autonomy and robustness. We then analyze drone racing as an ideal gym environment to test these architectures on real robotic platforms and thus increase confidence in their use in future space exploration missions. Drone racing not only shares with spacecraft missions both limited onboard computational capabilities and similar control structures induced from the optimality principle sought but also entails different levels of uncertainties and unmodeled effects and a very different dynamical timescale. Onboard optimal guidance and control could be entirely neural based in future space missions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This Review discusses the main results obtained in training end-to-end neural architectures for guidance and control of interplanetary transfers, planetary landings, and close-proximity operations, highlighting the successful learning of optimality principles by the underlying neural models. Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the mission. Sensorimotor actions are thus often derived from high-level, quantifiable, optimality principles assigned to each task, using consolidated tools in optimal control theory. The planned actions are derived on the ground and transferred on board, where controllers have the task of tracking the uploaded guidance profile. Here, we review recent trends based on the use of end-to-end networks, called guidance and control networks (G&CNets), which allow spacecraft to depart from such an architecture and to embrace the onboard computation of optimal actions. In this way, the sensor information is transformed in real time into optimal plans, thus increasing mission autonomy and robustness. We then analyze drone racing as an ideal gym environment to test these architectures on real robotic platforms and thus increase confidence in their use in future space exploration missions. Drone racing not only shares with spacecraft missions both limited onboard computational capabilities and similar control structures induced from the optimality principle sought but also entails different levels of uncertainties and unmodeled effects and a very different dynamical timescale. Onboard optimal guidance and control could be entirely neural based in future space missions. |
Liming Zheng; Salua Hamaza ALBERO: Agile Landing on Branches for Environmental Robotics Operations (Journal Article) In: IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2845–2852, 2024, 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{4f72ee48af594442976869c1133ef133,
title = {ALBERO: Agile Landing on Branches for Environmental Robotics Operations},
author = {Liming Zheng and Salua Hamaza},
url = {https://research.tudelft.nl/en/publications/albero-agile-landing-on-branches-for-environmental-robotics-opera},
doi = {10.1109/LRA.2024.3349914},
issn = {2377-3766},
year = {2024},
date = {2024-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {9},
number = {3},
pages = {2845–2852},
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}
}
|
F. Paredes-Vallés; J. J. Hagenaars; J. Dupeyroux; S. Stroobants; Y. Xu; G. C. H. E. Croon Fully neuromorphic vision and control for autonomous drone flight (Journal Article) In: Science Robotics, vol. 9, no. 90, pp. eadi0591, 2024. @article{<LineBreak>doi:10.1126/scirobotics.adi0591,
title = {Fully neuromorphic vision and control for autonomous drone flight},
author = {F. Paredes-Vallés and J. J. Hagenaars and J. Dupeyroux and S. Stroobants and Y. Xu and G. C. H. E. Croon},
url = {https://www.science.org/doi/abs/10.1126/scirobotics.adi0591},
doi = {10.1126/scirobotics.adi0591},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Science Robotics},
volume = {9},
number = {90},
pages = {eadi0591},
abstract = {Biological sensing and processing is asynchronous and sparse, leading to low-latency and energy-efficient perception and action. In robotics, neuromorphic hardware for event-based vision and spiking neural networks promises to exhibit similar characteristics. However, robotic implementations have been limited to basic tasks with low-dimensional sensory inputs and motor actions because of the restricted network size in current embedded neuromorphic processors and the difficulties of training spiking neural networks. Here, we present a fully neuromorphic vision-to-control pipeline for controlling a flying drone. Specifically, we trained a spiking neural network that accepts raw event-based camera data and outputs low-level control actions for performing autonomous vision-based flight. The vision part of the network, consisting of five layers and 28,800 neurons, maps incoming raw events to ego-motion estimates and was trained with self-supervised learning on real event data. The control part consists of a single decoding layer and was learned with an evolutionary algorithm in a drone simulator. Robotic experiments show a successful sim-to-real transfer of the fully learned neuromorphic pipeline. The drone could accurately control its ego-motion, allowing for hovering, landing, and maneuvering sideways—even while yawing at the same time. The neuromorphic pipeline runs on board on Intel’s Loihi neuromorphic processor with an execution frequency of 200 hertz, consuming 0.94 watt of idle power and a mere additional 7 to 12 milliwatts when running the network. These results illustrate the potential of neuromorphic sensing and processing for enabling insect-sized intelligent robots. A fully neuromorphic vision-to-control pipeline enables fast and energy-efficient ego-motion control of a flying drone. Despite the ability of visual processing enabled by artificial neural networks, the associated hardware and large power consumption limit deployment on small flying drones. Neuromorphic hardware offers a promising alternative, but the accompanying spiking neural networks are difficult to train, and the current hardware only supports a limited number of neurons. Paredes-Vallés et al. now present a neuromorphic pipeline to control drone flight. They trained a five-layer spiking neural network to process the raw inputs from an event camera. The network first estimated ego-motion and subsequently determined low-level control commands. Real-world experiments demonstrated that the drone could control its ego-motion to land, hover, and maneuver sideways, with minimal power consumption. —Melisa Yashinski},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Biological sensing and processing is asynchronous and sparse, leading to low-latency and energy-efficient perception and action. In robotics, neuromorphic hardware for event-based vision and spiking neural networks promises to exhibit similar characteristics. However, robotic implementations have been limited to basic tasks with low-dimensional sensory inputs and motor actions because of the restricted network size in current embedded neuromorphic processors and the difficulties of training spiking neural networks. Here, we present a fully neuromorphic vision-to-control pipeline for controlling a flying drone. Specifically, we trained a spiking neural network that accepts raw event-based camera data and outputs low-level control actions for performing autonomous vision-based flight. The vision part of the network, consisting of five layers and 28,800 neurons, maps incoming raw events to ego-motion estimates and was trained with self-supervised learning on real event data. The control part consists of a single decoding layer and was learned with an evolutionary algorithm in a drone simulator. Robotic experiments show a successful sim-to-real transfer of the fully learned neuromorphic pipeline. The drone could accurately control its ego-motion, allowing for hovering, landing, and maneuvering sideways—even while yawing at the same time. The neuromorphic pipeline runs on board on Intel’s Loihi neuromorphic processor with an execution frequency of 200 hertz, consuming 0.94 watt of idle power and a mere additional 7 to 12 milliwatts when running the network. These results illustrate the potential of neuromorphic sensing and processing for enabling insect-sized intelligent robots. A fully neuromorphic vision-to-control pipeline enables fast and energy-efficient ego-motion control of a flying drone. Despite the ability of visual processing enabled by artificial neural networks, the associated hardware and large power consumption limit deployment on small flying drones. Neuromorphic hardware offers a promising alternative, but the accompanying spiking neural networks are difficult to train, and the current hardware only supports a limited number of neurons. Paredes-Vallés et al. now present a neuromorphic pipeline to control drone flight. They trained a five-layer spiking neural network to process the raw inputs from an event camera. The network first estimated ego-motion and subsequently determined low-level control commands. Real-world experiments demonstrated that the drone could control its ego-motion to land, hover, and maneuver sideways, with minimal power consumption. —Melisa Yashinski |
Hann Woei Ho; Ye Zhou; Yiting Feng; Guido C. H. E. Croon Optical flow-based control for micro air vehicles: an efficient data-driven incremental nonlinear dynamic inversion approach (Journal Article) In: Autonomous Robots, vol. 48, no. 8, 2024, ISSN: 0929-5593, (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{de8ac946100443458e17cbd79b635dbb,
title = {Optical flow-based control for micro air vehicles: an efficient data-driven incremental nonlinear dynamic inversion approach},
author = {Hann Woei Ho and Ye Zhou and Yiting Feng and Guido C. H. E. Croon},
url = {https://research.tudelft.nl/en/publications/optical-flow-based-control-for-micro-air-vehicles-an-efficient-da},
doi = {10.1007/s10514-024-10174-4},
issn = {0929-5593},
year = {2024},
date = {2024-01-01},
journal = {Autonomous Robots},
volume = {48},
number = {8},
publisher = {Springer},
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}
}
|
Apoorva Vashisth; Julius Ruckin; Federico Magistri; Cyrill Stachniss; Marija Popovic Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning (Journal Article) In: IEEE Robotics and Automation Letters, vol. 9, no. 9, pp. 7747–7754, 2024, 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{6f5b1c4a51c9425fa5f6453b926bf8c4,
title = {Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning},
author = {Apoorva Vashisth and Julius Ruckin and Federico Magistri and Cyrill Stachniss and Marija Popovic},
url = {https://research.tudelft.nl/en/publications/deep-reinforcement-learning-with-dynamic-graphs-for-adaptive-info},
doi = {10.1109/LRA.2024.3421188},
issn = {2377-3766},
year = {2024},
date = {2024-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {9},
number = {9},
pages = {7747–7754},
publisher = {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}
}
|
Tom Dijk; Christophe De Wagter; Guido C. H. E. Croon Visual route following for tiny autonomous robots (Journal Article) In: Science Robotics, vol. 9, no. 92, pp. eadk0310, 2024, ISSN: 2470-9476, (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{0e519d5771bb43beae6e808559be46fa,
title = {Visual route following for tiny autonomous robots},
author = {Tom Dijk and Christophe De Wagter and Guido C. H. E. Croon},
url = {https://research.tudelft.nl/en/publications/visual-route-following-for-tiny-autonomous-robots},
doi = {10.1126/scirobotics.adk0310},
issn = {2470-9476},
year = {2024},
date = {2024-01-01},
journal = {Science Robotics},
volume = {9},
number = {92},
pages = {eadk0310},
publisher = {American Association for the Advancement of Science},
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}
}
|
Dario Izzo; Emmanuel Blazquez; Robin Ferede; Sebastien Origer; Christophe De Wagter; Guido C. H. E. Croon Optimality principles in spacecraft neural guidance and control (Journal Article) In: Science Robotics, vol. 9, no. 91, 2024, ISSN: 2470-9476, (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{e6b721abd0284a90a9aedb90bd9a7da0,
title = {Optimality principles in spacecraft neural guidance and control},
author = {Dario Izzo and Emmanuel Blazquez and Robin Ferede and Sebastien Origer and Christophe De Wagter and Guido C. H. E. Croon},
url = {https://research.tudelft.nl/en/publications/optimality-principles-in-spacecraft-neural-guidance-and-control},
doi = {10.1126/scirobotics.adi6421},
issn = {2470-9476},
year = {2024},
date = {2024-01-01},
journal = {Science Robotics},
volume = {9},
number = {91},
publisher = {American Association for the Advancement of Science},
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}
}
|
G. C. H. E. Croon; C. De Wagter Editorial: Special Issue on Advancing Micro Air Vehicle Technologies: Selected Papers from IMAV 2022 (Journal Article) In: Unmanned Systems, vol. 12, no. 3, pp. 563–564, 2024, ISSN: 2301-3850. @article{cc309432ce7b43009e0742f2afc3b9b3,
title = {Editorial: Special Issue on Advancing Micro Air Vehicle Technologies: Selected Papers from IMAV 2022},
author = {G. C. H. E. Croon and C. De Wagter},
url = {https://research.tudelft.nl/en/publications/editorial-special-issue-on-advancing-micro-air-vehicle-technologi},
doi = {10.1142/S2301385024020035},
issn = {2301-3850},
year = {2024},
date = {2024-01-01},
journal = {Unmanned Systems},
volume = {12},
number = {3},
pages = {563–564},
publisher = {World Scientific Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
S. A. Bahnam; C. De Wagter; G. C. H. E. De Croon Improving the Computational Efficiency of ROVIO (Journal Article) In: Unmanned Systems, vol. 12, no. 3, pp. 589–598, 2024, ISSN: 2301-3850. @article{b4c869ece0b34c1c863cad462c79f190,
title = {Improving the Computational Efficiency of ROVIO},
author = {S. A. Bahnam and C. De Wagter and G. C. H. E. De Croon},
url = {https://research.tudelft.nl/en/publications/improving-the-computational-efficiency-of-rovio-2},
doi = {10.1142/S2301385024410012},
issn = {2301-3850},
year = {2024},
date = {2024-01-01},
journal = {Unmanned Systems},
volume = {12},
number = {3},
pages = {589–598},
publisher = {World Scientific Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Suryansh Sharma; Mike Verhoeff; Floor Joosen; RR Venkatesha Prasad; Salua Hamaza A Morphing Quadrotor-Blimp with Balloon Failure Resilience for Mobile Ecological Sensing (Journal Article) In: IEEE Robotics and Automation Letters, vol. 9, no. 7, pp. 6408–6415, 2024, 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{5ab41ef5d22d4c92b58b0e0673ac9097,
title = {A Morphing Quadrotor-Blimp with Balloon Failure Resilience for Mobile Ecological Sensing},
author = {Suryansh Sharma and Mike Verhoeff and Floor Joosen and RR Venkatesha Prasad and Salua Hamaza},
url = {https://research.tudelft.nl/en/publications/a-morphing-quadrotor-blimp-with-balloon-failure-resilience-for-mo},
doi = {10.1109/LRA.2024.3406061},
issn = {2377-3766},
year = {2024},
date = {2024-01-01},
journal = {IEEE Robotics and Automation Letters},
volume = {9},
number = {7},
pages = {6408–6415},
publisher = {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}
}
|
F. Paredes-Vallés; J. J. Hagenaars; J. Dupeyroux; S. Stroobants; Y. Xu; G. C. H. E. Croon Fully neuromorphic vision and control for autonomous drone flight (Journal Article) In: Science Robotics, vol. 9, no. 90, 2024, ISSN: 2470-9476, (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{6cbe83a31f8648b0b47888e71f807546,
title = {Fully neuromorphic vision and control for autonomous drone flight},
author = {F. Paredes-Vallés and J. J. Hagenaars and J. Dupeyroux and S. Stroobants and Y. Xu and G. C. H. E. Croon},
url = {https://research.tudelft.nl/en/publications/fully-neuromorphic-vision-and-control-for-autonomous-drone-flight},
doi = {10.1126/scirobotics.adi0591},
issn = {2470-9476},
year = {2024},
date = {2024-01-01},
journal = {Science Robotics},
volume = {9},
number = {90},
publisher = {American Association for the Advancement of Science},
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}
}
|
Robin Ferede; Guido Croon; Christophe De Wagter; Dario Izzo End-to-end neural network based optimal quadcopter control (Journal Article) In: Robotics and Autonomous Systems, vol. 172, 2024, ISSN: 0921-8890, (Funding Information: This work was supported by the European Space Agency.This research was co-funded under the Discovery programme of, and funded by, the European Space Agency. Funding Information: This work was supported by the European Space Agency . Publisher Copyright: © 2023 The Authors). @article{16169a19bf6b46818ecc18a9f2bd5e0f,
title = {End-to-end neural network based optimal quadcopter control},
author = {Robin Ferede and Guido Croon and Christophe De Wagter and Dario Izzo},
url = {https://research.tudelft.nl/en/publications/end-to-end-neural-network-based-optimal-quadcopter-control},
doi = {10.1016/j.robot.2023.104588},
issn = {0921-8890},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Robotics and Autonomous Systems},
volume = {172},
publisher = {Elsevier},
note = {Funding Information: This work was supported by the European Space Agency.This research was co-funded under the Discovery programme of, and funded by, the European Space Agency. Funding Information: This work was supported by the European Space Agency . Publisher Copyright: © 2023 The Authors},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Proceedings Articles
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S. Wang; M. Hoed; S. Hamaza A Low-cost Fabrication Approach to Embody Flexible and Lightweight Strain Sensing on Flapping Wings (Proceedings Article) In: IEEE ICRA 2024 - Workshop on Bioinspired, Soft, and Other Novel Design Paradigms for Aerial Robotics, IEEE, United States, 2024, (2024 IEEE International Conference on<br/>Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024). @inproceedings{cdeff09dcd0048b7b12f16a07f6d2751,
title = {A Low-cost Fabrication Approach to Embody Flexible and Lightweight Strain Sensing on Flapping Wings},
author = {S. Wang and M. Hoed and S. Hamaza},
url = {https://research.tudelft.nl/en/publications/a-low-cost-fabrication-approach-to-embody-flexible-and-lightweigh},
year = {2024},
date = {2024-01-01},
booktitle = {IEEE ICRA 2024 - Workshop on Bioinspired, Soft, and Other Novel Design Paradigms for Aerial Robotics},
publisher = {IEEE},
address = {United States},
note = {2024 IEEE International Conference on<br/>Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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Michiel V. M. Firlefyn; Jesse J. Hagenaars; Guido C. H. E. De Croon Direct learning of home vector direction for insect-inspired robot navigation (Proceedings Article) In: 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, pp. 6022–6028, IEEE, United States, 2024, (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. ; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024). @inproceedings{ceb073e4b4234d5a82dc48c543b335d9,
title = {Direct learning of home vector direction for insect-inspired robot navigation},
author = {Michiel V. M. Firlefyn and Jesse J. Hagenaars and Guido C. H. E. De Croon},
url = {https://research.tudelft.nl/en/publications/direct-learning-of-home-vector-direction-for-insect-inspired-robo},
doi = {10.1109/ICRA57147.2024.10611609},
year = {2024},
date = {2024-01-01},
booktitle = {2024 IEEE International Conference on Robotics and Automation, ICRA 2024},
pages = {6022–6028},
publisher = {IEEE},
address = {United States},
series = {Proceedings - IEEE International Conference on Robotics and Automation},
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. ; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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Chaoxiang Ye; Guido De Croon; Salua Hamaza A Biomorphic Whisker Sensor for Aerial Tactile Applications (Proceedings Article) In: 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, pp. 5257–5263, IEEE, United States, 2024, (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. ; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024). @inproceedings{311247a3c5d348dda17be553ccc4e113,
title = {A Biomorphic Whisker Sensor for Aerial Tactile Applications},
author = {Chaoxiang Ye and Guido De Croon and Salua Hamaza},
url = {https://research.tudelft.nl/en/publications/a-biomorphic-whisker-sensor-for-aerial-tactile-applications},
doi = {10.1109/ICRA57147.2024.10610850},
year = {2024},
date = {2024-01-01},
booktitle = {2024 IEEE International Conference on Robotics and Automation, ICRA 2024},
pages = {5257–5263},
publisher = {IEEE},
address = {United States},
series = {Proceedings - IEEE International Conference on Robotics and Automation},
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. ; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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Yilun Wu; Federico Paredes-Vallés; Guido C. H. E. De Croon Lightweight Event-based Optical Flow Estimation via Iterative Deblurring (Proceedings Article) In: 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, pp. 14708–14715, IEEE, United States, 2024, (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. ; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024). @inproceedings{250de48bf50e4c74aa71f9ad9a14b705,
title = {Lightweight Event-based Optical Flow Estimation via Iterative Deblurring},
author = {Yilun Wu and Federico Paredes-Vallés and Guido C. H. E. De Croon},
url = {https://research.tudelft.nl/en/publications/lightweight-event-based-optical-flow-estimation-via-iterative-deb},
doi = {10.1109/ICRA57147.2024.10610353},
year = {2024},
date = {2024-01-01},
booktitle = {2024 IEEE International Conference on Robotics and Automation, ICRA 2024},
pages = {14708–14715},
publisher = {IEEE},
address = {United States},
series = {Proceedings - IEEE International Conference on Robotics and Automation},
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. ; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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Robin Ferede; Christophe De Wagter; Dario Izzo; Guido C. H. E. De Croon End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight (Proceedings Article) In: 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, pp. 6172–6177, IEEE, United States, 2024, (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. ; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024). @inproceedings{ba057dbe5fae450d8d64c99d615165d3,
title = {End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight},
author = {Robin Ferede and Christophe De Wagter and Dario Izzo and Guido C. H. E. De Croon},
url = {https://research.tudelft.nl/en/publications/end-to-end-reinforcement-learning-for-time-optimal-quadcopter-fli},
doi = {10.1109/ICRA57147.2024.10611665},
year = {2024},
date = {2024-01-01},
booktitle = {2024 IEEE International Conference on Robotics and Automation, ICRA 2024},
pages = {6172–6177},
publisher = {IEEE},
address = {United States},
series = {Proceedings - IEEE International Conference on Robotics and Automation},
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. ; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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L. S. Yadala Chanchu; R. F. G. Zuidgeest; D. M. Stam; G. C. H. E. Croon Robust Heading Estimation from Polarization Images by Deep Neural Networks (Proceedings Article) In: Richardson, T. (Ed.): IMAV 2024: Proceedings of the 15th annual International Micro Air Vehicle Conference and Competition, pp. 56–63, 2024, (International Micro Air Vehicle Conference , IMAV 2024 ; Conference date: 16-09-2024 Through 20-09-2024). @inproceedings{770b4d344fae41a083118aee84c3558a,
title = {Robust Heading Estimation from Polarization Images by Deep Neural Networks},
author = {L. S. Yadala Chanchu and R. F. G. Zuidgeest and D. M. Stam and G. C. H. E. Croon},
editor = {T. Richardson},
url = {https://research.tudelft.nl/en/publications/robust-heading-estimation-from-polarization-images-by-deep-neural},
year = {2024},
date = {2024-01-01},
booktitle = {IMAV 2024: Proceedings of the 15th annual International Micro Air Vehicle Conference and Competition},
pages = {56–63},
note = {International Micro Air Vehicle Conference , IMAV 2024 ; Conference date: 16-09-2024 Through 20-09-2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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T. Burgers; S. Stroobants; G. C. H. E. Croon Evolving Spiking Neural Networks to Mimic PID Control for Autonomous Blimps (Proceedings Article) In: Richardson, T. (Ed.): IMAV 2024: Proceedings of the 15th annual International Micro Air Vehicle Conference and Competition, pp. 72–78, 2024, (International Micro Air Vehicle Conference , IMAV 2024 ; Conference date: 16-09-2024 Through 20-09-2024). @inproceedings{139b6d37323a45b1b43a7a863536b835,
title = {Evolving Spiking Neural Networks to Mimic PID Control for Autonomous Blimps},
author = {T. Burgers and S. Stroobants and G. C. H. E. Croon},
editor = {T. Richardson},
url = {https://research.tudelft.nl/en/publications/evolving-spiking-neural-networks-to-mimic-pid-control-for-autonom},
year = {2024},
date = {2024-01-01},
booktitle = {IMAV 2024: Proceedings of the 15th annual International Micro Air Vehicle Conference and Competition},
pages = {72–78},
note = {International Micro Air Vehicle Conference , IMAV 2024 ; Conference date: 16-09-2024 Through 20-09-2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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M. Villanueva Aguado; C. Wagter; G. C. H. E. Croon Adaptive Neural Network Quadrotor Trajectory Tracking Controller Tolerant to Propeller Damage (Proceedings Article) In: Richardson, T. (Ed.): IMAV 2024: Proceedings of the 15th annual International Micro Air Vehicle Conference and Competition, pp. 87–99, 2024, (International Micro Air Vehicle Conference , IMAV 2024 ; Conference date: 16-09-2024 Through 20-09-2024). @inproceedings{8b5a914f95bf4ec18565adb0d8cddd43,
title = {Adaptive Neural Network Quadrotor Trajectory Tracking Controller Tolerant to Propeller Damage},
author = {M. Villanueva Aguado and C. Wagter and G. C. H. E. Croon},
editor = {T. Richardson},
url = {https://research.tudelft.nl/en/publications/adaptive-neural-network-quadrotor-trajectory-tracking-controller-},
year = {2024},
date = {2024-01-01},
booktitle = {IMAV 2024: Proceedings of the 15th annual International Micro Air Vehicle Conference and Competition},
pages = {87–99},
note = {International Micro Air Vehicle Conference , IMAV 2024 ; Conference date: 16-09-2024 Through 20-09-2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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