Searched for: author:"de Croon, G.C.H.E."
(1 - 20 of 69)

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Hagenaars, J.J. (author), Paredes-Vallés, Federico (author), Bohté, Sander M. (author), de Croon, G.C.H.E. (author)
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...
journal article 2020
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de Croon, G.C.H.E. (author)
journal article 2020
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Coppola, M. (author), McGuire, K.N. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
This work presents a review and discussion of the challenges that must be solved in order to successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From the discussion, we extract constraints and links that relate the local level MAV capabilities to the global operations of the swarm. These should be taken into...
review 2020
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Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
Automatic optimization of robotic behavior has been the long-standing goal of Evolutionary Robotics. Allowing the problem at hand to be solved by automation often leads to novel approaches and new insights. A common problem encountered with this approach is that when this optimization occurs in a simulated environment, the optimized policies are...
journal article 2020
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Li, S. (author), van der Horst, E. (author), Duernay, Philipp (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Drone racing is becoming a popular e-sport all over the world, and beating the best human drone race pilots has quickly become a new major challenge for artificial intelligence and robotics. In this paper, we propose a novel sensor fusion method called visual model-predictive localization (VML). Within a small time window, VML approximates...
journal article 2020
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Potdar, N.D. (author), de Croon, G.C.H.E. (author), Alonso Mora, J. (author)
Micro Aerial Vehicles (MAVs) can be used for aerial transportation in remote and urban spaces where portability can be exploited to reach previously inaccessible and inhospitable spaces. Current approaches for path planning of MAV swung payload system either compute conservative minimal-swing trajectories or pre-generate agile collision-free...
journal article 2020
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van Dijk, J.C. (author), de Croon, G.C.H.E. (author)
Deep neural networks have lead to a breakthrough in depth estimation from single images. Recent work shows that the quality of these estimations is rapidly increasing. It is clear that neural networks can see depth in single images. However, to the best of our knowledge, no work currently exists that analyzes what these networks have learned. In...
conference paper 2019
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Li, S. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Autonomous robots heavily rely on well-tuned state estimation filters for successful control. This letter presents a novel automatic tuning strategy for learning filter parameters by minimizing the innovation, i.e., the discrepancy between expected and received signals from all sensors. The optimization process only requires the inputs and...
journal article 2019
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Armanini, S.F. (author), Caetano, J. V. (author), de Visser, C.C. (author), Pavel, M.D. (author), de Croon, G.C.H.E. (author), Mulder, Max (author)
Despite significant interest in tailless flapping-wing micro aerial vehicle designs, tailed configurations are often favoured, as they offer many benefits, such as static stability and a simpler control strategy, separating wing and tail control. However, the tail aerodynamics are highly complex due to the interaction between the unsteady...
journal article 2019
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Paredes Valles, F. (author), Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
The combination of spiking neural networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This paper presents the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in an unsupervised fashion from the raw stimuli generated with an...
journal article 2019
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Li, S. (author), de Wagter, C. (author), de Visser, C.C. (author), Chu, Q. P. (author), de Croon, G.C.H.E. (author)
High-speed flight in GPS-denied environments is currently an important frontier in the research on autonomous flight of micro air vehicles. Autonomous drone races stimulate the advances in this area by representing a very challenging case with tight turns, texture-less floors, and dynamic spectators around the track. These properties hamper...
journal article 2019
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Kajak, K. M. (author), Karasek, M. (author), Chu, Q. P. (author), de Croon, G.C.H.E. (author)
Recently, several insect- and hummingbird-inspired tailless flapping wing robots have been introduced. However, their flight dynamics, which are likely to be similar to that of their biological counterparts, remain yet to be fully understood. We propose a minimal dynamic model that is not only validated with experimental data, but also able...
journal article 2019
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Karasek, M. (author), Perçin, M. (author), Cunis, Torbjørn (author), van Oudheusden, B.W. (author), de Wagter, C. (author), Remes, B.D.W. (author), de Croon, G.C.H.E. (author)
Flow visualisations are essential to better understand the unsteady aerodynamics of flapping wing flight. The issues inherent to animal experiments, such as poor controllability and unnatural flapping when tethered, can be avoided by using robotic flyers that promise for a more systematic and repeatable methodology. Here, we present a new...
journal article 2019
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van der Helm, Steven (author), Coppola, M. (author), McGuire, K.N. (author), de Croon, G.C.H.E. (author)
We present a range-based solution for indoor relative localization by micro air vehicles (MAVs), achieving sufficient accuracy for leader–follower flight. Moving forward from previous work, we removed the dependency on a common heading measurement by the MAVs, making the relative localization accuracy independent of magnetometer readings. We...
journal article 2019
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Coppola, M. (author), Guo, J. (author), Gill, E.K.A. (author), de Croon, G.C.H.E. (author)
This work proposes PageRank as a tool to evaluate and optimize the global performance of a swarm based on the analysis of the local behavior of a single robot. PageRank is a graph centrality measure that assesses the importance of nodes based on how likely they are to be reached when traversing a graph. We relate this, using a microscopic...
journal article 2019
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Olejnik, D.A. (author), Karasek, M. (author), Duisterhof, Bart (author), Scheper, K.Y.W. (author), van Dijk, J.C. (author), de Croon, G.C.H.E. (author)
In the field of robotics, a major challenge is achieving high levels of autonomy with small vehicles that have limited mass and power budgets. The main motivation for designing such small vehicles is that, compared to their larger counterparts, they have the potential to be safer, and hence be available and work together in large numbers. One of...
conference paper 2019
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Coppola, Mario (author), Guo, J. (author), Gill, E.K.A. (author), de Croon, G.C.H.E. (author)
In this paper we present a procedure to automatically design and verify the local behavior of robots with highly limited cognition. All robots are: anonymous, homogeneous, non-communicating, memoryless, reactive, do not know their global position, do not have global state information, and operate by a local clock. They only know: (1) the...
journal article 2019
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Wijnker, Dirk (author), van Dijk, J.C. (author), de Croon, G.C.H.E. (author), de Wagter, C. (author)
To investigate how an Unmanned Air Vehicle (UAV) can detect manned aircraft with a single microphone, an audio data set is created in which UAV ego-sound and recorded aircraft sound are mixed together. A convolutional neural network is used to perform the air traffic detection. Due to restrictions on flying UAVs close to aircraft, the data set...
conference paper 2019
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de Wagter, C. (author), Karasek, M. (author), de Croon, G.C.H.E. (author)
journal article 2018
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Karasek, M. (author), Muijres, Florian T. (author), de Wagter, C. (author), Remes, B.D.W. (author), de Croon, G.C.H.E. (author)
Insects are among the most agile natural flyers.Hypotheses on their flight control cannot always be validated by experiments with animals or tethered robots.To this end, we developed a programmable and agile autonomous free-flying robot controlled through bio-inspired motion changes of its flapping wings.Despite being 55 times the size of a...
journal article 2018
Searched for: author:"de Croon, G.C.H.E."
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