Zobrazeno 1 - 10
of 6 585
pro vyhledávání: '"Wood, Robert"'
Autor:
Kamp, Leon M., Zanaty, Mohamed, Zareei, Ahmad, Gorissen, Benjamin, Wood, Robert J., Bertoldi, Katia
Programming physical intelligence into mechanisms holds great promise for machines that can accomplish tasks such as navigation of unstructured environments while utilizing a minimal amount of computational resources and electronic components. In thi
Externí odkaz:
http://arxiv.org/abs/2409.03737
Autor:
Wright, Chris J., Thornton, Joel A., Jaeglé, Lyatt, Cao, Yang, Zhu, Yannian, Liu, Jihu, Jones II, Randall, Holzworth, Robert H, Rosenfeld, Daniel, Wood, Robert, Blossey, Peter, Kim, Daehyun
Aerosol interactions with clouds represent a significant uncertainty in our understanding of the Earth system. Deep convective clouds may respond to aerosol perturbations in several ways that have proven difficult to elucidate with observations. Here
Externí odkaz:
http://arxiv.org/abs/2408.07207
Autor:
Christensen, Matthew W., Gettelman, Andrew, Cermak, Jan, Dagan, Guy, Diamond, Michael, Douglas, Alyson, Feingold, Graham, Glassmeier, Franziska, Goren, Tom, Grosvenor, Daniel P., Gryspeerdt, Edward, Kahn, Ralph, Li, Zhanqing, Ma, Po-Lun, Malavelle, Florent, McCoy, Isabel L., McCoy, Daniel T., McFarquhar, Greg, Mülmenstädt, Johannes, Pal, Sandip, Possner, Anna, Povey, Adam, Quaas, Johannes, Rosenfeld, Daniel, Schmidt, Anja, Schrödner, Roland, Sorooshian, Armin, Stier, Philip, Toll, Velle, Watson-Parris, Duncan, Wood, Robert, Yang, Mingxi, Yuan, Tianle
Aerosol–cloud interactions (ACIs) are considered to be the most uncertain driver of present-day radiative forcing due to human activities. The nonlinearity of cloud-state changes to aerosol perturbations make it challenging to attribute causality i
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A82040
https://ul.qucosa.de/api/qucosa%3A82040/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A82040/attachment/ATT-0/
Autor:
Maalouf, Alaa, Jadhav, Ninad, Jatavallabhula, Krishna Murthy, Chahine, Makram, Vogt, Daniel M., Wood, Robert J., Torralba, Antonio, Rus, Daniela
Tracking and following objects of interest is critical to several robotics use cases, ranging from industrial automation to logistics and warehousing, to healthcare and security. In this paper, we present a robotic system to detect, track, and follow
Externí odkaz:
http://arxiv.org/abs/2308.05737