Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Deok-Hwa Kim"'
Autor:
Gyeong-Moon, Park, Yong-Ho, Yoo, Deok-Hwa, Kim, Jong-Hwan, Kim, Gyeong-Moon Park, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim
Publikováno v:
IEEE Transactions on Cybernetics. 48:1786-1799
Robots are expected to perform smart services and to undertake various troublesome or difficult tasks in the place of humans. Since these human-scale tasks consist of a temporal sequence of events, robots need episodic memory to store and retrieve th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f17b82aed4eb196fbb0efa854a6d9ae5
https://doi.org/10.1109/tcyb.2017.2715338
https://doi.org/10.1109/tcyb.2017.2715338
Publikováno v:
Autonomous Robots. 43:2163-2182
Automated task planning for robots faces great challenges in that the sequences of events needed for a particular task are mostly required to be hard-coded. This can be a cumbersome process, especially, when the user wants a robot to learn a large nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7713bc2fc90c489495ea8edcc568b2da
https://doi.org/10.1007/s10514-019-09868-x
https://doi.org/10.1007/s10514-019-09868-x
Autor:
Yonghan Lee, Martin Humenberger, Suyong Yeon, Philippe Weinzaepfel, Gabriela Csurka, Nicolas Guérin, Soo-Hyun Ryu, Cheolho Han, Donghwan Lee, Deok-Hwa Kim, Yohann Cabon
Publikováno v:
CVPR
Estimating the precise location of a camera using visual localization enables interesting applications such as augmented reality or robot navigation. This is particularly useful in indoor environments where other localization technologies, such as GN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c747458a36469092fd90e72a14132331
http://arxiv.org/abs/2105.08941
http://arxiv.org/abs/2105.08941
Publikováno v:
WACV
Robust and accurate visual localization is one of the most fundamental elements in various technologies, such as autonomous driving and augmented reality. While recent visual localization algorithms demonstrate promising results in terms of accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdcd203fc881abd6b504c354da8c81e1
https://doi.org/10.1109/wacv48630.2021.00228
https://doi.org/10.1109/wacv48630.2021.00228
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 1:41-50
The crux of the realization of task intelligence for robots is to design the memory module for storing temporal event sequences of tasks, the mechanism of thought for reasoning, and motion planning methodology for execution, among others. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0868e9ce1136866c158e9e37c9c44514
https://doi.org/10.1109/tetci.2016.2645720
https://doi.org/10.1109/tetci.2016.2645720
Publikováno v:
ICRA
We present a novel algorithm for self-supervised monocular depth completion. Our approach is based on training a neural network that requires only sparse depth measurements and corresponding monocular video sequences without dense depth labels. Our s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d04472c4dc1a5625e073b414c08dc53
Publikováno v:
Annual Reviews in Control. 44:9-18
In order to perform various tasks using a robot in a real environment, it is necessary to learn the tasks based on recognition, to be able to derive a task sequence suitable for the situation, and to be able to generate a behavior adaptively. To deal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346a4f6b4bac055eeccd89939c7ec214
https://doi.org/10.1016/j.arcontrol.2017.09.013
https://doi.org/10.1016/j.arcontrol.2017.09.013
Autor:
Jauwairia, Nasir, Yong-Ho, Yoo, Deok-Hwa, Kim, Jong-Hwan, Kim, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim
Publikováno v:
IEEE transactions on neural networks and learning systems. 29(6)
Memory modeling has been a popular topic of research for improving the performance of autonomous agents in cognition related problems. Apart from learning distinct experiences correctly, significant or recurring experiences are expected to be learned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaad11fb3d4965a9816fc59f3c1c2b4e
https://pubmed.ncbi.nlm.nih.gov/28436904
https://pubmed.ncbi.nlm.nih.gov/28436904
Autor:
Deok-Hwa Kim, Jong-Hwan Kim
Publikováno v:
IEEE Transactions on Robotics. 32:1565-1573
This paper proposes a robust background model-based dense-visual-odometry (BaMVO) algorithm that uses an RGB-D sensor in a dynamic environment. The proposed algorithm estimates the background model represented by the nonparametric model from depth sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46fc13a6609302052dab56f69958ff9e
https://doi.org/10.1109/tro.2016.2609395
https://doi.org/10.1109/tro.2016.2609395
Publikováno v:
IROS
To perform a home service task through cooperation with a human in a real environment, a robot needs to deal with the environmental changes and accordingly plan appropriate behavior sequence. For this purpose, in this paper, we propose an adaptive ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f16555d739446cc0d41cd0a90aa4ef25
https://doi.org/10.1109/iros.2018.8594040
https://doi.org/10.1109/iros.2018.8594040