Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Visser, Coen"'
Physics-Informed Neural Networks (PINNs) are an emerging tool for approximating the solution of Partial Differential Equations (PDEs) in both forward and inverse problems. PINNs minimize a loss function which includes the PDE residual determined for
Externí odkaz:
http://arxiv.org/abs/2411.19632
Though control algorithms for multirotor Unmanned Air Vehicle (UAV) are well understood, the configuration, parameter estimation, and tuning of flight control algorithms takes quite some time and resources. In previous work, we have shown that it is
Externí odkaz:
http://arxiv.org/abs/2409.01080
Autor:
van Beers, Jasper, de Visser, Coen
Publikováno v:
AIAA 2023-0125. AIAA SCITECH 2023 Forum. January 2023
Ensuring the reliability and validity of data-driven quadrotor model predictions is essential for their accepted and practical use. This is especially true for grey- and black-box models wherein the mapping of inputs to predictions is not transparent
Externí odkaz:
http://arxiv.org/abs/2408.06036
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 15570-15576
Unmanned aerial vehicles (UAVs) are becoming an integral part of both industry and society. In particular, the quadrotor is now invaluable across a plethora of fields and recent developments, such as the inclusion of aerial manipulators, only extends
Externí odkaz:
http://arxiv.org/abs/2408.06025
Publikováno v:
IEEE Robotics and Automation Letters 6 (2), 580-587, 2021
Fault-tolerant control is crucial for safety-critical systems, such as quadrotors. State-of-art flight controllers can stabilize and control a quadrotor even when subjected to the complete loss of a rotor. However, these methods rely on external sens
Externí odkaz:
http://arxiv.org/abs/2102.13406
This paper presents a novel method for fast and robust detection of actuator failures on quadrotors. The proposed algorithm has very little model dependency. A Kalman filter estimator estimates a stochastic effectiveness factor for every actuator, us
Externí odkaz:
http://arxiv.org/abs/2102.06439
Publikováno v:
IEEE International Conference on Robotics and Automation (ICRA) 2020
This study has developed a fault-tolerant controller that is able to recover a quadrotor from arbitrary initial orientations and angular velocities, despite the complete failure of a rotor. This cascaded control method includes a position/altitude co
Externí odkaz:
http://arxiv.org/abs/2002.09425
Publikováno v:
IEEE Transactions on Robotics, 2020
In order to further expand the flight envelope of quadrotors under actuator failures, we design a nonlinear sensor-based fault-tolerant controller to stabilize a quadrotor with failure of two opposing rotors in the high-speed flight condition (> 8m/s
Externí odkaz:
http://arxiv.org/abs/2002.07837
We define a SDP framework based on the RLSTD algorithm and multivariate simplex B-splines. We introduce a local forget factor capable of preserving the continuity of the simplex splines. This local forget factor is integrated with the RLSTD algorithm
Externí odkaz:
http://arxiv.org/abs/1606.09383
Evolutionary Robotics allows robots with limited sensors and processing to tackle complex tasks by means of sensory-motor coordination. In this paper we show the first application of the Behaviour Tree framework to a real robotic platform using the E
Externí odkaz:
http://arxiv.org/abs/1411.7267