Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Xiaoxi Jiang"'
Autor:
Lijuan Chen, Yuanyuan Zhao, Zheng Wang, Yifei Wang, Xiangwei Bo, Xiaoxi Jiang, Chunshu Hao, Chengwei Ju, Yangyang Qu, Hongjian Dong
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Studies in populations with or without cardiovascular disease have shown that very high HDL-C levels are associated with an increased risk of cardiovascular events. However, the exact relationship between HDL-C levels and long-ter
Externí odkaz:
https://doaj.org/article/13746ed026e14d8fb3425911006d722f
Autor:
Xiaoxi Jiang, Peiwen Hao
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3500 (2024)
Hub airports typically have multiple parallel runways, requiring aircraft to transfer between them. This increases the risk of runway incursions. End-around taxiways (EATs) mitigate such risk by enabling bypassing without runway crossings. This revie
Externí odkaz:
https://doaj.org/article/9c41937b2fef43d89ac415b8ef01622f
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-15 (2019)
Abstract This paper mainly studies the deployment of wireless sensor network nodes in the warehouse environment monitoring system, discusses the deployment algorithm of wireless sensor network nodes in the warehouse environment, and finds out the nod
Externí odkaz:
https://doaj.org/article/d48261857f3249ada5ee506566a471c3
Autor:
Xiaoxi Jiang, Marcelo Kallmann
Publikováno v:
Motion Planning for Humanoid Robots ISBN: 9781849962193
Coordinated whole-body motions are key for achieving the full potential of humanoids performing tasks in human environments and in cooperation with humans. We present a multi-skill motion planning and learning framework which is able to address sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af671b3a8cf7409fd3f41daf104a65c9
https://doi.org/10.1007/978-1-84996-220-9_10
https://doi.org/10.1007/978-1-84996-220-9_10
Autor:
Xiaoxi Jiang, Marcelo Kallmann
Publikováno v:
IROS
A central challenging problem in humanoid robotics is to plan and execute dynamic tasks in dynamic environments. Given that the environment is known, sampling-based online motion planners are best suited for handling changing environments. However, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d047246d6b094469def66bced16d9d
https://doi.org/10.1109/iros.2007.4399542
https://doi.org/10.1109/iros.2007.4399542
Autor:
Marcelo Kallmann, Xiaoxi Jiang
Publikováno v:
SIGGRAPH Posters
In most interactive applications of virtual characters such as computer games and VR training, existing motion planners are not capable of computing grasping motions in real time, especially in realistic dynamic environments. This work proposes a lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::679398623503a491fccb371d88a23ed5
https://doi.org/10.1145/1280720.1280724
https://doi.org/10.1145/1280720.1280724