Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kuwajerwala, Alihusein"'
Autor:
Gu, Qiao, Kuwajerwala, Alihusein, Morin, Sacha, Jatavallabhula, Krishna Murthy, Sen, Bipasha, Agarwal, Aditya, Rivera, Corban, Paul, William, Ellis, Kirsty, Chellappa, Rama, Gan, Chuang, de Melo, Celso Miguel, Tenenbaum, Joshua B., Torralba, Antonio, Shkurti, Florian, Paull, Liam
For robots to perform a wide variety of tasks, they require a 3D representation of the world that is semantically rich, yet compact and efficient for task-driven perception and planning. Recent approaches have attempted to leverage features from larg
Externí odkaz:
http://arxiv.org/abs/2309.16650
Autor:
Jatavallabhula, Krishna Murthy, Kuwajerwala, Alihusein, Gu, Qiao, Omama, Mohd, Chen, Tao, Maalouf, Alaa, Li, Shuang, Iyer, Ganesh, Saryazdi, Soroush, Keetha, Nikhil, Tewari, Ayush, Tenenbaum, Joshua B., de Melo, Celso Miguel, Krishna, Madhava, Paull, Liam, Shkurti, Florian, Torralba, Antonio
Building 3D maps of the environment is central to robot navigation, planning, and interaction with objects in a scene. Most existing approaches that integrate semantic concepts with 3D maps largely remain confined to the closed-set setting: they can
Externí odkaz:
http://arxiv.org/abs/2302.07241
The robustness of visual navigation policies trained through imitation often hinges on the augmentation of the training image-action pairs. Traditionally, this has been done by collecting data from multiple cameras, by using standard data augmentatio
Externí odkaz:
http://arxiv.org/abs/2110.07668
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
The robustness of visual navigation policies trained through imitation often hinges on the augmentation of the training image-action pairs. Traditionally, this has been done by collecting data from multiple cameras, by using standard data augmentatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbadb4b0d5ac8f0f1b7f72211c5b5908
https://doi.org/10.1109/icra46639.2022.9811885
https://doi.org/10.1109/icra46639.2022.9811885
