Searched for: +
(1 - 20 of 73)

Pages

List view
Grid view
document
Jenie, Y.I. (author), van Kampen, E.J. (author), Ellerbroek, J. (author), Hoekstra, J.M. (author)
A novel architecture for a general Unmanned Aerial Vehicle (UAV) Conflict Detection and Resolution (CD&R) system, in the context of their integration into the civilian airspace, is proposed in this paper. The architecture consists of layers of safety approaches ,each representing a combination of different methods for surveillance, coordination,...
conference paper 2015
document
Mannucci, T. (author), van Kampen, E. (author), de Visser, C.C. (author), Chu, Q. P. (author)
conference paper 2016
document
Mannucci, T. (author), van Kampen, E. (author), de Visser, C.C. (author), Chu, Q. P. (author)
conference paper 2016
document
Jenie, Y.I. (author), van Kampen, E. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
conference paper 2016
document
Zhou, Y. (author), van Kampen, E. (author), Chu, Q. P. (author)
conference paper 2016
document
Stapel, J (author), de Visser, C.C. (author), van Kampen, E. (author), Chu, Q. P. (author)
conference paper 2016
document
Junell, J. (author), Mannucci, T. (author), Zhou, Y. (author), van Kampen, E. (author)
conference paper 2016
document
Junell, J. (author), van Kampen, E. (author)
This paper demonstrates a real life approach for quadrotor obstacle avoidance in indoor flight. A color-based vision approach for obstacle detection is used to good effect conjointly with an adaptive path planning algorithm. The presented task is to move about a set indoor space while avoiding randomly located obstacles and adapting a path to...
conference paper 2016
document
Visser, T. (author), de Visser, C.C. (author), van Kampen, E. (author)
In recent research efforts the multivariate simplex spline has shown great promise in system identification applications. It has high approximation power, while its linearity in the parameters allows for computationally efficient estimation of the coefficients. In this paper the multivariate simplotope spline is derived from this spline, and...
conference paper 2016
document
Zhou, Y. (author), van Kampen, E. (author), Chu, Q. P. (author)
Flapping-wing MAVs represent an attractive alternative to conventional designs with rotary wings, since they promise a much higher efficiency in forward flight. However, further insight into the flapping-wing aerodynamics is still needed to get closer to the flight performance observed in natural fliers. Here we present the first step necessary...
conference paper 2016
document
Shyamsundar, S. (author), Mannucci, T. (author), van Kampen, E. (author)
Navigation in an unknown or uncertain environment is a challenging task for an autonomous agent. The agent is expected to behave independently and to learn the suitable action to take for a given situation. Reinforcement Learning could be used to help the agent adapt to an unknown environment and learn the right actions to take. This paper...
conference paper 2016
document
Mannucci, T. (author), van Kampen, E. (author)
Goal-finding in an unknown maze is a challenging problem for a Reinforcement Learning agent, because the corresponding state space can be large if not intractable, and the agent does not usually have a model of the environment. Hierarchical Reinforcement Learning has been shown in the past to improve tractability and learning time of complex...
conference paper 2016
document
Jenie, Y.I. (author), van Kampen, E. (author), de Visser, C.C. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
conference paper 2016
document
Zhou, Y. (author), van Kampen, E. (author), Chu, Q. P. (author)
This paper presents an adaptive control technique to deal with spacecraft attitude tracking and disturbance rejection problems in the presence of model uncertainties. Approximate dynamic programming has been proposed to solve adaptive, optimal control problems without using accurate systems models. Within this category, linear approximate...
conference paper 2017
document
Wang, X. (author), van Kampen, E. (author), Chu, Q. P. (author)
conference paper 2017
document
Schonebaum, G.K. (author), Junell, J. (author), van Kampen, E. (author)
Reinforcement learning is a promising framework for controlling complex vehicles with a high level of autonomy, since it does not need a dynamic model of the vehicle, and it is able to adapt to changing conditions. When learning from scratch, the performance of a reinforcement learning controller may initially be poor and -for real life...
conference paper 2017
document
Shuang, Weifang (author), Zhang, S. (author), Wu, Xue (author), van Kampen, E. (author), Chu, Q. P. (author)
<br/>
conference paper 2017
document
Lu, P. (author), van Kampen, E. (author), Chu, Q. P. (author)
<br/>
conference paper 2017
document
Zammit, C. (author), van Kampen, E. (author)
Unmanned Aerial Vehicles (UAVs) are being integrated into a wide range of indoor and outdoor applications. In this light, robust and efficient path planning is paramount. An extensive literature review showed that the A* and Rapidly{Exploring Random Tree (RRT) algorithms and their variants are the most promising path planning algorithms...
conference paper 2018
document
Wang, Xuerui (author), van Kampen, E. (author), Chu, Q. P. (author), De Breuker, R. (author)
In this paper, an Incremental Nonlinear Dynamic Inversion (INDI) controller is<br/>developed for the flexible aircraft gust load alleviation (GLA) problem. First, a flexible aircraft model captures both inertia and aerodynamic coupling effects between flight dynamics and structural vibration dynamics is presented. Then an INDI GLA controller is...
conference paper 2018
Searched for: +
(1 - 20 of 73)

Pages

List view
Grid view