Searched for: author%3A%22De+Croon%2C+G.C.H.E.%22
(21 - 40 of 117)

Pages

document
Ma, Z. (author), Smeur, E.J.J. (author), de Croon, G.C.H.E. (author)
Tailsitters have complex aerodynamics that make them hard to control throughout the entire flight envelope, especially at very high angle of attack (AoA) and reverse flow conditions. The development of controllers for these vehicles is hampered by the absence of publicly available data on forces and moments experienced in such conditions. In...
journal article 2022
document
Li, S. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Relative localization is an important ability for multiple robots to perform cooperative tasks in GPS-denied environments. This paper presents a novel autonomous positioning framework for monocular relative localization of multiple tiny flying robots. This approach does not require any groundtruth data from external systems or manual labeling....
conference paper 2022
document
Westenberger, Jelle (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Time-optimal model predictive control is important for achieving fast racing drones but is computationally intensive and thereby rarely used onboard small quadcopters with limited computational resources. In this work, we simplify the optimal control problem (OCP) of the position loop for several maneuvers by exploiting the fact that the...
journal article 2022
document
Dupeyroux, J.J.G. (author), Stroobants, S. (author), de Croon, G.C.H.E. (author)
The third generation of artificial intelligence (AI) introduced by neuromorphic computing is revolutionizing the way robots and autonomous systems can sense the world, process the information, and interact with their environment. Research towards fulfilling the promises of high flexibility, energy efficiency, and robustness of neuromorphic...
conference paper 2022
document
Gonzalez Alvarez, M. (author), Dupeyroux, J.J.G. (author), Corradi, Federico (author), de Croon, G.C.H.E. (author)
Robotic airships offer significant advantages in terms of safety, mobility, and extended flight times. However, their highly restrictive weight constraints pose a major challenge regarding the available computational resources to perform the required control tasks. Neuromorphic computing stands for a promising research direction for addressing...
conference paper 2022
document
Olejnik, D.A. (author), Wang, S. (author), Dupeyroux, J.J.G. (author), Stroobants, S. (author), Karasek, M. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
This paper discusses a low-cost, open-source and open-hardware design and performance evaluation of a low-speed, multi-fan wind system dedicated to micro air vehicle (MAV) testing. In addition, a set of experiments with a flapping wing MAV and rotorcraft is presented, demonstrating the capabilities of the system and the properties of these...
conference paper 2022
document
Wang, S. (author), Olejnik, D.A. (author), de Wagter, C. (author), van Oudheusden, B.W. (author), de Croon, G.C.H.E. (author), Hamaza, S. (author)
Flyers in nature equip different airflow sensing mechanisms to navigate through wind disturbances with remarkable flight stability. Embracing bio-inspiration, airflow sensing with conventional sensors has long been utilized in flight control for larger micro air vehicles (MAVs). Bio-inspired flapping wing MAVs (FWMAVs) have extremely limited...
journal article 2022
document
Stroobants, S. (author), Dupeyroux, J.J.G. (author), de Croon, G.C.H.E. (author)
Compelling evidence has been given for the high energy efficiency and update rates of neuromorphic processors, with performance beyond what standard Von Neumann architectures can achieve. Such promising features could be advantageous in critical embedded systems, especially in robotics. To date, the constraints inherent in robots (e.g., size...
journal article 2022
document
Pfeiffer, S.U. (author), Munaro, Veronica (author), Li, S. (author), Rizzo, Alessandro (author), de Croon, G.C.H.E. (author)
Relative localization is a key capability for autonomous robot swarms, and it is a substantial challenge, especially for small flying robots, as they are extremely restricted in terms of sensors and processing while other robots may be located anywhere around them in three-dimensional space. In this article, we generalize wireless ranging...
journal article 2022
document
Bahnam, S.A. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
ROVIO is one of the state-of-the-art mono visual inertial odometry algorithms. It uses an Iterative Extended Kalman Filter (IEKF) to align features and update the vehicle state simultaneously by including the feature locations in the state vector of the IEKF. This algorithm is single core intensive, which allows using the other cores for other...
conference paper 2022
document
de Croon, G.C.H.E. (author), de Wagter, C. (author)
conference paper 2022
document
Wang, C. (author), Wang, S. (author), de Croon, G.C.H.E. (author), Hamaza, S. (author)
Flapping wing micro aerial vehicles (FWMAVs) are known for their flight agility and maneuverability. These bio-inspired and lightweight flying robots still present limitations in their ability to fly in direct wind and gusts, as their stability is severely compromised in contrast with their biological counterparts. To this end, this work aims at...
journal article 2022
document
Mancinelli, A. (author), Smeur, E.J.J. (author), Remes, B.D.W. (author), de Croon, G.C.H.E. (author)
In the last few decades, the UAV research has been focusing on hybrid vehicles with Vertical Takeoff and Landing (VTOL) capabilities. Opposed to copters, hybrid vehicles are highly influenced by wind disturbances. This paper presents a novel quad-plane design that uses four dual-axis tilting rotors to enhance the wind rejection capability of...
conference paper 2022
document
Stroobants, S. (author), Dupeyroux, J.J.G. (author), de Croon, G.C.H.E. (author)
The great promises of neuromorphic sensing and processing for robotics have led researchers and engineers to investigate novel models for robust and reliable control of autonomous robots (navigation, obstacle detection and avoidance, etc.), especially for quadrotors in challenging contexts such as drone racing and aggressive maneuvers. Using...
conference paper 2022
document
Dupeyroux, J.J.G. (author), Dinaux, Raoul (author), Wessendorp, Nikhil (author), de Croon, G.C.H.E. (author)
In this paper, we introduce the Obstacle Detection and Avoidance (ODA) Dataset for Drones, aiming at providing raw data obtained in a real indoor environment with sensors adapted for aerial robotics in the context of obstacle detection and avoidance. Our micro air vehicle (MAV) is equipped with the following sensors: (i) an event-based camera...
conference paper 2022
document
de Croon, G.C.H.E. (author), Dupeyroux, J.J.G. (author), Fuller, S. B. (author), Marshall, J. A.R. (author)
Autonomous robots are expected to perform a wide range of sophisticated tasks in complex, unknown environments. However, available onboard computing capabilities and algorithms represent a considerable obstacle to reaching higher levels of autonomy, especially as robots get smaller and the end of Moore's law approaches. Here, we argue that...
review 2022
document
Neuman, Sabrina M. (author), Plancher, Brian (author), Duisterhof, Bardienus P. (author), Krishnan, Srivatsan (author), Banbury, Colby (author), Mazumder, Mark (author), Prakash, Shvetank (author), Jabbour, Jason (author), Faust, Aleksandra (author), de Croon, G.C.H.E. (author), Reddi, Vijay Janapa (author)
Machine learning (ML) has become a pervasive tool across computing systems. An emerging application that stress-tests the challenges of ML system design is tiny robot learning, the deployment of ML on resource-constrained low-cost autonomous robots. Tiny robot learning lies at the intersection of embedded systems, robotics, and ML, compounding...
conference paper 2022
document
de Croon, G.C.H.E. (author), Dupeyroux, J.J.G. (author), de Wagter, C. (author), Chatterjee, A. (author), Olejnik, D.A. (author), Ruffier, Franck (author)
Attitude control is an essential flight capability. Whereas flying robots commonly rely on accelerometers<sup>1</sup> for estimating attitude, flying insects lack an unambiguous sense of gravity<sup>2,3</sup>. Despite the established role of several sense organs in attitude stabilization<sup>3–5</sup>, the dependence of flying insects on an...
journal article 2022
document
Verheyen, Jan K.N. (author), Dupeyroux, J.J.G. (author), de Croon, G.C.H.E. (author)
Insects have—over millions of years of evolution—perfected many of the systems that roboticists aim to achieve; they can swiftly and robustly navigate through different environments under various conditions while at the same time being highly energy efficient. To reach this level of performance and efficiency, one might want to look at and...
conference paper 2022
document
Westenberger, J.M. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Time-optimal model predictive control is important for achieving fast racing drones but is computationally intensive and thereby rarely used onboard small quadcopters with limited computational resources. In this work, we simplify the optimal control problem (OCP) of the position loop for several maneuvers by exploiting the fact that the...
conference paper 2021
Searched for: author%3A%22De+Croon%2C+G.C.H.E.%22
(21 - 40 of 117)

Pages