Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Jiangeng Li"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 21 (2024)
Although advancements in red–green–blue-depth (RGB-D)-based six degree-of-freedom (6D) pose estimation methods, severe occlusion remains challenging. Addressing this issue, we propose a novel feature fusion module that can efficiently leverage th
Externí odkaz:
https://doaj.org/article/f16a14bd51d144af984368390c941894
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
The goal of reinforcement learning is to enable an agent to learn by using rewards. However, some robotic tasks naturally specify with sparse rewards, and manually shaping reward functions is a difficult project. In this article, we propose a general
Externí odkaz:
https://doaj.org/article/299b81a22e364a24a567a97fa2d89393
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 14, Iss 1, Pp JAMDSM0001-JAMDSM0001 (2020)
Micro-droplet generation is related to liquid dispensing technology that has potential applications in many fields. Specifically, pneumatic micro-droplet generation is controlled by a solenoid valve being briefly turned on, so that high pressure gas
Externí odkaz:
https://doaj.org/article/883c1ee40ca94556a0377dcff594ba77
Publikováno v:
Journal of Control Science and Engineering, Vol 2019 (2019)
To avoid the adverse effects of severe air pollution on human health, we need accurate real-time air quality prediction. In this paper, for the purpose of improve prediction accuracy of air pollutant concentration, a deep neural network model with mu
Externí odkaz:
https://doaj.org/article/4a13541e44124d0da6de998dd13239fc
Autor:
Zhi Yan, Brian T. Luke, Shirley X. Tsang, Rui Xing, Yuanming Pan, Yixuan Liu, Jinlian Wang, Tao Geng, Jiangeng Li, Youyong Lu
Publikováno v:
Biomarker Insights, Vol 2014, Iss 9, Pp 67-76 (2014)
Externí odkaz:
https://doaj.org/article/1a8a5d77818248e68668b0d46ab15ccd
Publikováno v:
Applied Intelligence. 52:9885-9898
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc03fc960a773cb8db844efae0bc9677
https://doi.org/10.1007/s10489-021-02953-8
https://doi.org/10.1007/s10489-021-02953-8
Publikováno v:
Neurocomputing. 457:365-376
The aim of generative adversarial imitation learning (GAIL) is to allow an agent to learn an optimal policy from demonstrations via an adversarial training process. However, previous works have not considered a realistic setting for complex continuou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e58a9dc36af9f3bfc79eb544a8d9fe7e
https://doi.org/10.1016/j.neucom.2021.06.053
https://doi.org/10.1016/j.neucom.2021.06.053
Publikováno v:
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8606483f110712a9dc89f96b69ba17ed
https://doi.org/10.1109/robio55434.2022.10011930
https://doi.org/10.1109/robio55434.2022.10011930
Publikováno v:
2022 China Automation Congress (CAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ef499df17ee2ed4bd41c43b9d3e4c26
https://doi.org/10.1109/cac57257.2022.10055655
https://doi.org/10.1109/cac57257.2022.10055655
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c020bff85fb349c32248b74925ae02e
https://doi.org/10.1109/ccdc55256.2022.10034038
https://doi.org/10.1109/ccdc55256.2022.10034038