Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zhongqiang Ren"'
Autor:
Dan Liang, Guanting Zhang, Mingxing Huang, Li Wang, Wenshan Hong, An’an Li, Yufeng Liang, Tao Wang, Jiahui Lu, Mengdang Ou, Zhongqiang Ren, Huiyi Lu, Rutian Zheng, Xionghui Cai, Xingfei Pan, Jinyu Xia, Changwen Ke
Publikováno v:
Pathogens, Vol 11, Iss 12, p 1531 (2022)
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), a new coronavirus causing Coronavirus Disease 2019 (COVID-19), is a major topic of global human health concern. The Delta and Omicron variants have caused alarming responses worldwide due
Externí odkaz:
https://doaj.org/article/8b7f1f95eab74bffb58915d6f2759b82
Publikováno v:
IEEE Transactions on Robotics. :1-15
Publikováno v:
IEEE Robotics and Automation Letters. 7:8154-8161
Publikováno v:
Algorithmic Foundations of Robotics XV ISBN: 9783031210891
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd8a7f9b133858a121b35e9f03bf3df4
https://doi.org/10.1007/978-3-031-21090-7_32
https://doi.org/10.1007/978-3-031-21090-7_32
Publikováno v:
Robotics: Science and Systems XVIII.
Autor:
An'an Li, Mingxing Huang, Zhongqiang Ren, Xingfei Pan, Rutian Zheng, Yufeng Liang, Huiyi Lu, Tao Wang, Changwen Ke, Xionghui Cai, Guanting Zhang, Wenshan Hong, Jinyu Xia, Mengdang Ou, Jiahui Lu, Dan Liang
Background: A lot of recent researches have focused on the duration of the nature immunity elicited by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. An improved understanding of the immunity offered by the antibodies develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6865307cfab3e1389b7978a1cff7059b
https://doi.org/10.21203/rs.3.rs-731817/v1
https://doi.org/10.21203/rs.3.rs-731817/v1
Publikováno v:
ICRA
Conventional multi-agent path planners typically compute an ensemble of paths while optimizing a single objective, such as path length. However, many applications may require multiple objectives, say fuel consumption and completion time, to be simult
Publikováno v:
ICRA
In multi-agent applications such as surveillance and logistics, fleets of mobile agents are often expected to coordinate and safely visit a large number of goal locations as efficiently as possible. The multi-agent planning problem in these applicati
Conventional multi-agent path planners typically compute an ensemble of paths while optimizing a single objective, such as path length. However, many applications may require multiple objectives, say fuel consumption and completion time, to be simult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3062a97c3421e758369122cbff414ce3
http://arxiv.org/abs/2101.03805
http://arxiv.org/abs/2101.03805
Multi-agent path finding (MAPF) determines an ensemble of collision-free paths for multiple agents between their respective start and goal locations. Among the available MAPF planners for workspace modeled as a graph, A*-based approaches have been wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae5b0b7f6f390df4d3d3ae3c45fe18a