Výsledky vyhledávání - "Jiaorong LIU"

Akademický článek

Research on motion signal capture accuracy of master manipulator for vascular interventional robot

Autor: Yingzhong TIAN, Liangchao XU, Jiaorong LIU, Wenbin WANG, Lilan LIU, Zhiming XU, Long LI

Publikováno v: Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 12, Iss 1, Pp JAMDSM0030-JAMDSM0030 (2018)

With the promoting popularization of vascular interventional surgery (VIS), the demand for the corresponding robot aided system arises spontaneously. In order to train interns, and make them faster qualified for clinical surgery, we develop and produ

Externí odkaz: https://doaj.org/article/ed5c804691a7482fa47f9d6e5514c973

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Akademický článek

Research on a new omnidirectional mobile platform with heavy loading and flexible motion

Autor: Yingzhong Tian, Shiyu Zhang, Jiaorong Liu, Feixue Chen, Long Li, Beixin Xia

Publikováno v: Advances in Mechanical Engineering, Vol 9 (2017)

This article presents an omnidirectional mobile platform with six mecanum wheels, which provide better carrying capacity than traditional four-wheel platform. Omnidirectional mobile platform with six mecanum wheels can withstand heavier load than the

Externí odkaz: https://doaj.org/article/a09961aea06044cf88e1c04051d62a90

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Akademický článek

Research on layout and operational pose optimization of robot grinding system based on optimal stiffness performance

Autor: Yingzhong TIAN, Bowen WANG, Jiaorong LIU, Feixue CHEN, Shouchen YANG, Wenbin WANG, Long LI

Publikováno v: Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 11, Iss 2, Pp JAMDSM0022-JAMDSM0022 (2017)

In a robot grinding system, the change of the robot's pose affects the overall stiffness of the whole machining system, which indirectly leads to the irregularity of the grinding surface. For this purpose, we propose a method to enhance the stiffness

Externí odkaz: https://doaj.org/article/b20266d3bc164f8f981c53bb3d4a9b8b

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Stiffness modeling and analysis of a multiple coordinated robot system

Autor: Long Li, Hao Shen, Yingzhong Tian, Jiaorong Liu, Fengfeng Xi, Bowen Wang

Publikováno v: The International Journal of Advanced Manufacturing Technology. 94:4265-4276

In this paper, we discuss about multiple coordinated robots that can form a fixtureless manufacturing cell. It is very important to ensure that the system stiffness is sufficient for manufacturing operations when external forces are exerted on the sy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58d11813ac433e7e344d1bac6e1533a1
https://doi.org/10.1007/s00170-017-1085-4

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Research on Bending and Torsion Properties of Bionic Square Continuum Robot

Autor: Long Li, Fei Yang, Fengfeng Xi, Jiaorong Liu, Jin Tao, Yingzhong Tian, Xian Yang

Publikováno v: ROBIO

Continuum robot, often taking inspiration from biomimetics, is an exciting novel research field and has great capability. The higher stiffness continuum robot may be inspired by the biology, such as seahorse, pipefish and pipehorse, which has both st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8479212cfae8f99349b861f3419fac3e
https://doi.org/10.1109/robio.2018.8665145

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Improved three-dimensional reconstruction algorithm from a multifocus microscopic image sequence based on a nonsubsampled wavelet transform

Autor: Yingzhong Tian, Shouchen Yang, Jiaorong Liu, Wenbin Wang, Pan Zhiyan, Lilan Liu, Cui Haoyang, Long Li

Publikováno v: Applied optics. 57(14)

In the multifocus microscopic image measurement method, the distortion of the three-dimensional (3D) reconstruction model has always been an important factor affecting the measurement result. In spatial domains, the focus measure algorithm is based o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc309d56c4e34b69d0bc99208f77633a
https://pubmed.ncbi.nlm.nih.gov/29791354

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Research on a new omnidirectional mobile platform with heavy loading and flexible motion

Autor: Jiaorong Liu, Shiyu Zhang, Long Li, Beixin Xia, Tian Yingzhong, Feixue Chen

Publikováno v: Advances in Mechanical Engineering, Vol 9 (2017)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3fba0ad2e4e7049df590f4c8c0a50d6
https://doaj.org/article/a09961aea06044cf88e1c04051d62a90

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[Untitled]

Autor: Wenbin Wang, Lilan Liu, Long Li, Jiaorong Liu, Shenchen Yang, Pan Zhiyan, Yingzhong Tian, Cui Haoyang

Publikováno v: Chinese Optics Letters. 17:061001

Depth from focus (DFF) is a technique for estimating the depth and three-dimensional (3D) shape of an object from a multi-focus image sequence. At present, focus evaluation algorithms based on DFF technology will always cause inaccuracies in deep map

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4add13eae21daa165c4b6b975e4188b3
https://doi.org/10.3788/col201917.061001

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