Zobrazeno 1 - 10
of 652
pro vyhledávání: '"Okorn A"'
Autor:
K. Okorn, L. T. Iraci
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 6425-6457 (2024)
We reviewed 60 sensor networks and 17 related efforts (sensor review papers and data accessibility projects) to better understand the landscape of stationary low-cost gas-phase sensor networks deployed in outdoor environments worldwide. This study is
Externí odkaz:
https://doaj.org/article/3ebcc7084e52492fb340ed9452e6238d
Autor:
Okorn, Kristen1,2,3 (AUTHOR) kristen.e.okorn@nasa.gov, Iraci, Laura T.3 (AUTHOR)
Publikováno v:
Atmospheric Measurement Techniques. 2024, Vol. 17 Issue 21, p6425-6457. 33p.
Orientation estimation is the core to a variety of vision and robotics tasks such as camera and object pose estimation. Deep learning has offered a way to develop image-based orientation estimators; however, such estimators often require training on
Externí odkaz:
http://arxiv.org/abs/2211.11182
How do we imbue robots with the ability to efficiently manipulate unseen objects and transfer relevant skills based on demonstrations? End-to-end learning methods often fail to generalize to novel objects or unseen configurations. Instead, we focus o
Externí odkaz:
http://arxiv.org/abs/2211.09325
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 9, Iss , Pp 100693- (2024)
The photocatalytic selective hydrogenation of furfural to furfuryl alcohol (FA) on various TiO2, including pure anatase TiO2, mixed anatase/rutile P25, and sol-gel-TiO2, is significantly enhanced by the addition of graphene. Incorporating 10 wt% grap
Externí odkaz:
https://doaj.org/article/cc55c365cab642158cfaec842666baf5
Autor:
Goyal, Ankit, Mousavian, Arsalan, Paxton, Chris, Chao, Yu-Wei, Okorn, Brian, Deng, Jia, Fox, Dieter
Accurate object rearrangement from vision is a crucial problem for a wide variety of real-world robotics applications in unstructured environments. We propose IFOR, Iterative Flow Minimization for Robotic Object Rearrangement, an end-to-end method fo
Externí odkaz:
http://arxiv.org/abs/2202.00732
Publikováno v:
IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 3022-3029, April 2022
Real-time object pose estimation is necessary for many robot manipulation algorithms. However, state-of-the-art methods for object pose estimation are trained for a specific set of objects; these methods thus need to be retrained to estimate the pose
Externí odkaz:
http://arxiv.org/abs/2201.07309
When navigating in urban environments, many of the objects that need to be tracked and avoided are heavily occluded. Planning and tracking using these partial scans can be challenging. The aim of this work is to learn to complete these partial point
Externí odkaz:
http://arxiv.org/abs/2111.10701
Publikováno v:
In International Journal of Pressure Vessels and Piping August 2024 210
Autor:
Ariceta, Gema, Benetti, Elisa, Benz, Marcus R., Bjerre, Anna, Boudailliez, Bernard R., Bouts, Antonia, Drube, Jens, Gjerstad, Ann Christin, Jankauskiene, Augustina, Jávorszky, Eszter, Jay, Nadine, Kirschstein, Martin, Varda, Nataša Marčun, Niel, Olivier, Nobili, François, Pietrement, Christine, Ruzgiene, Dovile, Schild, Raphael, Staude, Hagen, Tory, Kálmán, Tsimaratos, Michel, Walden, Ulrike, Zappel, Hildegard, Buffin-Meyer, Bénédicte, Richard, Juliette, Guigonis, Vincent, Weber, Stefanie, König, Jens, Heidet, Laurence, Moussaoui, Nabila, Vu, Jeanne-Pierrette, Faguer, Stanislas, Casemayou, Audrey, Prakash, Richa, Baudouin, Véronique, Hogan, Julien, Alexandrou, Demi, Bockenhauer, Detlef, Bacchetta, Justine, Ranchin, Bruno, Pruhova, Stepanka, Zieg, Jakub, Lahoche, Annie, Okorn, Christine, Antal-Kónya, Violetta, Morin, Denis, Becherucci, Francesca, Habbig, Sandra, Liebau, Max C., Mauras, Mathilde, Nijenhuis, Tom, Llanas, Brigitte, Mekahli, Djalila, Thumfart, Julia, Tönshoff, Burkhard, Massella, Laura, Eckart, Philippe, Cloarec, Sylvie, Cruz, Alejandro, Patzer, Ludwig, Roussey, Gwenaelle, Vrillon, Isabelle, Dunand, Olivier, Bessenay, Lucie, Taroni, Francesca, Zaniew, Marcin, Louillet, Ferielle, Bergmann, Carsten, Schaefer, Franz, van Eerde, Albertien M., Schanstra, Joost P., Decramer, Stéphane
Publikováno v:
In Kidney International Reports August 2024 9(8):2514-2526