Journal article 207 views
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated
IEEE/ASME Transactions on Mechatronics, Volume: 26, Issue: 1, Pages: 1 - 1
Swansea University Author: Chunxu Li
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1109/tmech.2020.3001624
Abstract
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated
Published in: | IEEE/ASME Transactions on Mechatronics |
---|---|
ISSN: | 1083-4435 1941-014X |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2020
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa66013 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2024-04-10T08:27:18Z |
---|---|
last_indexed |
2024-04-10T08:27:18Z |
id |
cronfa66013 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>66013</id><entry>2024-04-09</entry><title>Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated</title><swanseaauthors><author><sid>e6ed70d02c25b05ab52340312559d684</sid><ORCID>0000-0001-7851-0260</ORCID><firstname>Chunxu</firstname><surname>Li</surname><name>Chunxu Li</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-04-09</date><deptcode>ACEM</deptcode><abstract/><type>Journal Article</type><journal>IEEE/ASME Transactions on Mechatronics</journal><volume>26</volume><journalNumber>1</journalNumber><paginationStart>1</paginationStart><paginationEnd>1</paginationEnd><publisher>Institute of Electrical and Electronics Engineers (IEEE)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1083-4435</issnPrint><issnElectronic>1941-014X</issnElectronic><keywords/><publishedDay>11</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-06-11</publishedDate><doi>10.1109/tmech.2020.3001624</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This work was supported in part by the National Natural Science Foundation of China under Grant 61703189 and
Grant 61902131, in part by the National Key Research and Development
Program of China under Grant 2017YFE0118900, in part by the Team
Project of Natural Science Foundation of Qinghai Province, China under
Grant 2020-ZJ-903, in part by the Key Laboratory of IoT of Qinghai
under Grant 2020-ZJ-Y16, in part by the Natural Science Foundation
of Gansu Province, China under Grant 18JR3RA264, in part by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams
under Grant 2017ZT07X183, and in part by the Fundamental Research
Funds for the Central Universities under Grant lzujbky-2019-89, Grant
lzujbky-2020-it09, and Grant 2019MS022. Recommended by Technical
Editor G. Hu and Senior Editor H. Qiao</funders><projectreference/><lastEdited>2024-06-27T12:35:50.3219514</lastEdited><Created>2024-04-09T20:12:56.5641143</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering</level></path><authors><author><firstname>Long</firstname><surname>Jin</surname><order>1</order></author><author><firstname>Zhengtai</firstname><surname>Xie</surname><order>2</order></author><author><firstname>Mei</firstname><surname>Liu</surname><order>3</order></author><author><firstname>Chen</firstname><surname>Ke</surname><order>4</order></author><author><firstname>Chunxu</firstname><surname>Li</surname><orcid>0000-0001-7851-0260</orcid><order>5</order></author><author><firstname>Chenguang</firstname><surname>Yang</surname><order>6</order></author></authors><documents/><OutputDurs/></rfc1807> |
spelling |
v2 66013 2024-04-09 Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated e6ed70d02c25b05ab52340312559d684 0000-0001-7851-0260 Chunxu Li Chunxu Li true false 2024-04-09 ACEM Journal Article IEEE/ASME Transactions on Mechatronics 26 1 1 1 Institute of Electrical and Electronics Engineers (IEEE) 1083-4435 1941-014X 11 6 2020 2020-06-11 10.1109/tmech.2020.3001624 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University This work was supported in part by the National Natural Science Foundation of China under Grant 61703189 and Grant 61902131, in part by the National Key Research and Development Program of China under Grant 2017YFE0118900, in part by the Team Project of Natural Science Foundation of Qinghai Province, China under Grant 2020-ZJ-903, in part by the Key Laboratory of IoT of Qinghai under Grant 2020-ZJ-Y16, in part by the Natural Science Foundation of Gansu Province, China under Grant 18JR3RA264, in part by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams under Grant 2017ZT07X183, and in part by the Fundamental Research Funds for the Central Universities under Grant lzujbky-2019-89, Grant lzujbky-2020-it09, and Grant 2019MS022. Recommended by Technical Editor G. Hu and Senior Editor H. Qiao 2024-06-27T12:35:50.3219514 2024-04-09T20:12:56.5641143 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Long Jin 1 Zhengtai Xie 2 Mei Liu 3 Chen Ke 4 Chunxu Li 0000-0001-7851-0260 5 Chenguang Yang 6 |
title |
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated |
spellingShingle |
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated Chunxu Li |
title_short |
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated |
title_full |
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated |
title_fullStr |
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated |
title_full_unstemmed |
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated |
title_sort |
Novel Joint-Drift-Free Scheme at Acceleration Level for Robotic Redundancy Resolution with Tracking Error Theoretically Eliminated |
author_id_str_mv |
e6ed70d02c25b05ab52340312559d684 |
author_id_fullname_str_mv |
e6ed70d02c25b05ab52340312559d684_***_Chunxu Li |
author |
Chunxu Li |
author2 |
Long Jin Zhengtai Xie Mei Liu Chen Ke Chunxu Li Chenguang Yang |
format |
Journal article |
container_title |
IEEE/ASME Transactions on Mechatronics |
container_volume |
26 |
container_issue |
1 |
container_start_page |
1 |
publishDate |
2020 |
institution |
Swansea University |
issn |
1083-4435 1941-014X |
doi_str_mv |
10.1109/tmech.2020.3001624 |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering |
document_store_str |
0 |
active_str |
0 |
published_date |
2020-06-11T12:35:50Z |
_version_ |
1803014006857793536 |
score |
11.037056 |