Zobrazeno 1 - 10
of 183 261
pro vyhledávání: '"Marina, P."'
Autor:
Winfield, Alan, Webb, Nicola, Etoundi, Appolinaire, Derval, Romain, Salvini, Pericle, Jirotka, Marina
Publikováno v:
In proc. 9th International Conference on Robot Ethics and Standards (ICRES 2024), Yokohama, Japan, 29-31 July 2024
This paper describes the enactment of a simulated (mock) accident involving an upper-body exoskeleton and its investigation. The accident scenario is enacted by role-playing volunteers, one of whom is wearing the exoskeleton. Following the mock accid
Externí odkaz:
http://arxiv.org/abs/2411.14008
Autor:
Luna, Cristina, Eguíluz, Augusto Gómez, Barrientos-Díez, Jorge, Moreno, Almudena, Guerra, Alba, Esquer, Manuel, Seoane, Marina L., Kay, Steven, Cameron, Angus, Camañes, Carmen, Haas, Philipp, Papantoniou, Vassilios, Wedler, Armin, Rebele, Bernhard, Reynolds, Jennifer, Landgraf, Markus
Publikováno v:
2024 International Conference on Space Robotics (iSpaRo), Luxembourg, Luxembourg, 2024, pp. 145-150
This document compiles results obtained from the test campaign of the European Moon Rover System (EMRS) project. The test campaign, conducted at the Planetary Exploration Lab of DLR in Wessling, aimed to understand the scope of the EMRS breadboard de
Externí odkaz:
http://arxiv.org/abs/2411.13978
Accurate estimation of greenhouse gas (GHG) is essential to meet carbon neutrality targets, particularly through the calculation of direct CO2 emissions from electricity generation. This work reviews and compares emission factor-based methods for acc
Externí odkaz:
http://arxiv.org/abs/2411.13663
Proposals for molecular communication networks as part of a future internet of bio-nano-things have become more intricate and the question of practical implementation is gaining more importance. One option is to apply detailed chemical modeling to ca
Externí odkaz:
http://arxiv.org/abs/2411.12637
A traffic model on an open one-dimensional lattice is considered. At any discrete time moment, with prescribed probability, a particle arrives to the leftmost cell of the lattice, and, with prescribed probability, the arriving particle belongs to one
Externí odkaz:
http://arxiv.org/abs/2411.12419
Autor:
Pérez-Aracil, J., Peláez-Rodríguez, C., McAdam, Ronan, Squintu, Antonello, Marina, Cosmin M., Lorente-Ramos, Eugenio, Luther, Niklas, Torralba, Veronica, Scoccimarro, Enrico, Cavicchia, Leone, Giuliani, Matteo, Zorita, Eduardo, Hansen, Felicitas, Barriopedro, David, Garcia-Herrera, Ricardo, Gutiérrez, Pedro A., Luterbacher, Jürg, Xoplaki, Elena, Castelletti, Andrea, Salcedo-Sanz, S.
Heatwaves (HWs) are extreme atmospheric events that produce significant societal and environmental impacts. Predicting these extreme events remains challenging, as their complex interactions with large-scale atmospheric and climatic variables are dif
Externí odkaz:
http://arxiv.org/abs/2411.10108
Autor:
Ayad, Marina A., Nateghi, Ramin, Sharma, Abhishek, Chillrud, Lawrence, Seesillapachai, Tilly, Cooper, Lee A. D., Goldstein, Jeffery A.
Inflammation of the umbilical cord can be seen as a result of ascending intrauterine infection or other inflammatory stimuli. Acute fetal inflammatory response (FIR) is characterized by infiltration of the umbilical cord by fetal neutrophils, and can
Externí odkaz:
http://arxiv.org/abs/2411.09767
This study analyzes the behavior of a differentially heated channel flow by means of a direct numerical simulations (DNS) with variable thermophysical properties under low-speed conditions focusing on the impact of the temperature gradient on the tur
Externí odkaz:
http://arxiv.org/abs/2411.07669
Autor:
Sirgabsou, Yandika, Hardin, Benjamin, Leblanc, François, Raili, Efi, Salvini, Pericle, Jackson, David, Jirotka, Marina, Kunze, Lars
This paper addresses the critical issue of psychological safety in the design and operation of autonomous vehicles, which are increasingly integrated with artificial intelligence technologies. While traditional safety standards focus primarily on phy
Externí odkaz:
http://arxiv.org/abs/2411.05732
Fine-tuning large language models (LLMs) is essential for enhancing their performance on specific tasks but is often resource-intensive due to redundant or uninformative data. To address this inefficiency, we introduce DELIFT (Data Efficient Language
Externí odkaz:
http://arxiv.org/abs/2411.04425