Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Hyonyoung Han"'
Publikováno v:
Korean Journal of Computational Design and Engineering. 26:30-39
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b36ec787b52956639bb981720b6e42
https://doi.org/10.7315/cde.2021.030
https://doi.org/10.7315/cde.2021.030
Autor:
Qihan Yang, Somesh Kumar, Qiaoyong Zhong, Fan Feng, Liang Ma, Qi She, Siew-Kei Lam, Gabriele Graffieti, German Ignacio Parisi, Yangsheng Xu, Baoquan Chen, Tin Lun Lam, Eoin Brophy, Chuanlin Lan, Vidit Goel, Lin Yang, Qi Liu, Rosa H. M. Chan, Debdoot Sheet, Shiliang Pu, Di Xie, Lorenzo Pellegrini, Hyonyoung Han, Liguang Zhou, Vincenzo Lomonaco, Zhengwei Wang, Soonyong Song, Davide Maltoni, Heechul Bae, Jianwen Wu, Xinyue Hao, Tomas E. Ward, Duvindu Piyasena, Sathursan Kanagarajah, Meiqing Wu, Young-Sung Son
Publikováno v:
IEEE Robotics & Automation Magazine. 27:11-16
Humans have a remarkable ability to learn continuously from th e environment and inner experience. One of the grand goals of robots is to build an artificial "lifelong learning" agent that can shape a cultivated understanding of the world from the cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ea5e8210ef6c78f2ba2436e0e0d4c1
https://doi.org/10.1109/mra.2020.2987186
https://doi.org/10.1109/mra.2020.2987186
Publikováno v:
2021 21st International Conference on Control, Automation and Systems (ICCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f76c00729c5141532a6ac08abec021c
https://doi.org/10.23919/iccas52745.2021.9649874
https://doi.org/10.23919/iccas52745.2021.9649874
Publikováno v:
2020 20th International Conference on Control, Automation and Systems (ICCAS).
This study introduces intelligent task robot system based on process recipe extraction from standard 3D model files. In small quantity batch production and mixed flow manufacturing condition, lots of time is spent on process planning and device contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dde6b17f893eb694600f5ead4d5db84
https://doi.org/10.23919/iccas50221.2020.9268427
https://doi.org/10.23919/iccas50221.2020.9268427
Publikováno v:
Applied Sciences
Volume 11
Issue 16
Applied Sciences, Vol 11, Iss 7593, p 7593 (2021)
Volume 11
Issue 16
Applied Sciences, Vol 11, Iss 7593, p 7593 (2021)
We propose a simple and robust HSV color-space-based algorithm that can automatically extract object position information without human intervention or prior knowledge. In manufacturing sites with high variability, it is difficult to recognize produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::139a9ebc1ad61453808a79178d8e644d
https://doi.org/10.3390/app11167593
https://doi.org/10.3390/app11167593
Autor:
Hyun Kim, Eun-Seo Lee, Min-Gi Kim, Hyonyoung Han, Ji-Yeon Son, Young-Kuk Kim, Hyun-Chul Kang, Heechul Bae
Publikováno v:
ICTC
Recently, with the development of artificial intelligence technology, robots have been utilized not only in manufacturing but also in many industrial fields. The needs of customers have been diversified and the trend of future manufacturing has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db2f7bd4dfdced2c3d3b07ce13d8505f
https://doi.org/10.1109/ictc46691.2019.8939796
https://doi.org/10.1109/ictc46691.2019.8939796
Publikováno v:
ICTC
This paper describes intelligent operation monitoring IoT tags for factory legacy device. These days factory devices almost contain monitoring system in network. But there are lots of legacy devices which do not support any monitoring sensors and net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aef7a77c8606c7c7618203d722185bd5
https://doi.org/10.1109/ictc.2017.8190780
https://doi.org/10.1109/ictc.2017.8190780
Autor:
Sungho Jo, Hyonyoung Han
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 18:1214-1224
This work suggests a supervised hierarchical Bayesian model for surface electromyography (sEMG)-based motion classification and its strategy analysis. The proposed model unifies the optimal feature extraction and classification through probabilistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd09cdd8813e443006194e24aa2fffb6
https://doi.org/10.1109/jbhi.2013.2284476
https://doi.org/10.1109/jbhi.2013.2284476
Autor:
Jung Kim, Hyonyoung Han
Publikováno v:
Sensors and Actuators A: Physical. 194:212-219
In this paper, we present the development of a voluntary muscle contraction sensing system that provides motion information of body for computing human body forces for physical human–robot interactions (pHRI). A resonance-based active-muscle stiffn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb5d2d3222983086ca0d0480f511ee31
https://doi.org/10.1016/j.sna.2013.01.054
https://doi.org/10.1016/j.sna.2013.01.054
Publikováno v:
ICTC
Factory as a Service is a mass personalization service platform. The system consists of three platforms; portal cloud system, manufacturing execution platform and manufacturing operation platform including IoT based manufacturing instruments called m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f55e47fb8580218c9f67ed84802a84d2
https://doi.org/10.1109/ictc.2016.7763386
https://doi.org/10.1109/ictc.2016.7763386