Zobrazeno 1 - 10
of 1 026
pro vyhledávání: '"A. P. Greeff"'
Tiny aerial robots show promise for applications like environmental monitoring and search-and-rescue but face challenges in control due to their limited computing power and complex dynamics. Model Predictive Control (MPC) can achieve agile trajectory
Externí odkaz:
http://arxiv.org/abs/2410.23634
Landing a multirotor unmanned aerial vehicle (UAV) on an uncrewed surface vessel (USV) extends the operational range and offers recharging capabilities for maritime and limnology applications, such as search-and-rescue and environmental monitoring. H
Externí odkaz:
http://arxiv.org/abs/2410.21674
Heterogeneous autonomous robot teams consisting of multirotor and uncrewed surface vessels (USVs) have the potential to enable various maritime applications, including advanced search-and-rescue operations. A critical requirement of these application
Externí odkaz:
http://arxiv.org/abs/2402.10399
Autor:
Akbari, Babak, Greeff, Melissa
Neglecting complex aerodynamic effects hinders high-speed yet high-precision multirotor autonomy. In this paper, we present a computationally efficient learning-based model predictive controller that simultaneously optimizes a trajectory that can be
Externí odkaz:
http://arxiv.org/abs/2402.10323
Autor:
Teetaert, Spencer, Zhao, Wenda, Xinyuan, Niu, Zahir, Hashir, Leong, Huiyu, Hidalgo, Michel, Puga, Gerardo, Lorente, Tomas, Espinosa, Nahuel, Carrasco, John Alejandro Duarte, Zhang, Kaizheng, Di, Jian, Jin, Tao, Li, Xiaohan, Zhou, Yijia, Liang, Xiuhua, Zhang, Chenxu, Loquercio, Antonio, Zhou, Siqi, Brunke, Lukas, Greeff, Melissa, Hoenig, Wolfgang, Panerati, Jacopo, Schoellig, Angela P.
Shared benchmark problems have historically been a fundamental driver of progress for scientific communities. In the context of academic conferences, competitions offer the opportunity to researchers with different origins, backgrounds, and levels of
Externí odkaz:
http://arxiv.org/abs/2308.16743
Machine learning (ML) has emerged as a prominent field of research in computer science and other related fields, thereby driving advancements in other domains of interest. As the field continues to evolve, it is crucial to understand the landscape of
Externí odkaz:
http://arxiv.org/abs/2308.00855
Publikováno v:
in IEEE Control Systems Letters, vol. 7, pp. 2191-2196, 2023
Learning-based optimal control algorithms control unknown systems using past trajectory data and a learned model of the system dynamics. These controllers use either a linear approximation of the learned dynamics, trading performance for faster compu
Externí odkaz:
http://arxiv.org/abs/2307.10541
Autor:
Ruo Chen Wang, Laura W. Van Buul, Suzanne E. Geerlings, Sabine C. De Greeff, Anja Haenen, Kati Halonen, Daan W. Notermans, E. Ascelijn Reuland, Martin Smalbrugge, Jos W. R. Twisk, Caroline Schneeberger
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Asymptomatic bacteriuria (ASB) – the presence of bacteria in urine without urinary tract infection (UTI) related signs & symptoms (S&S) – is common in the elderly bladder and is not considered pathogenic for UTI. We hypothesis
Externí odkaz:
https://doaj.org/article/a7632cdc37a5458a8e80f796b1feaf40
Autor:
Linda E. Chanamé Pinedo, Anouk P. Meijs, Huifang Deng, Sabine C. de Greeff, Engeline van Duijkeren, Cindy M. Dierikx, Kees T. Veldman, Pim Sanders, Maaike J.C. van den Beld, Bart Wullings, Eelco Franz, Roan Pijnacker, Lapo Mughini-Gras
Publikováno v:
One Health, Vol 19, Iss , Pp 100844- (2024)
Background: Antimicrobial use (AMU) in livestock contributes to antimicrobial resistance (AMR) among zoonotic pathogens, such as non-typhoid Salmonella (NTS). Since 2009, the Netherlands has made substantial efforts to reduce AMU in livestock. Object
Externí odkaz:
https://doaj.org/article/54163b6843bf4989acd66ee435404190
Autor:
Manon Brekelmans, Titia Hopmans, Maaike van Mourik, Sabine de Greeff, Julie Swillens, Stephanie van Rooden
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract Introduction To promote the nation-wide implementation of semi-automated surveillance (AS) of surgical site infection after hip and knee arthroplasty, the Dutch National Institute for Public Health and the Environment (RIVM) deployed a decen
Externí odkaz:
https://doaj.org/article/9853b55bcbf543289cb56e534508679d