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dc.contributor.authorLi, Chunxu
dc.contributor.authorYang, C
dc.contributor.authorLiang, P
dc.contributor.authorCangelosi, Angelo
dc.contributor.authorWan, Jian
dc.date.accessioned2020-07-09T05:43:23Z
dc.date.available2020-07-09T05:43:23Z
dc.date.issued2016-08
dc.identifier.isbn9781509033645
dc.identifier.urihttp://hdl.handle.net/10026.1/15867
dc.description.abstract

In this paper, an online tracking system has been developed to control the arm and head of a Nao robot using Kinect sensor. The main goal of this work is to achieve that the robot is able to follow the motion of a human user in real time to track. This objective has been achieved using a RGB-D camera (Kinect v2) and a Nao robot, which is a humanoid robot with 5 degree of freedom (DOF) for each arm. The joint motions of the operatoŗs head and arm in the real world captured by a Kinect camera can be transferred into the workspace mathematically via forward and inverse kinematics, realitically through data based UDP connection between the robot and Kinect sensor. The satisfactory performance of the proposed approaches have been achieved, which is shown in experimental results.

dc.format.extent133-138
dc.language.isoen
dc.publisherIEEE
dc.titleDevelopment of Kinect based teleoperation of Nao robot
dc.typeconference
dc.typeConference Proceeding
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000386653600024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.date-start2016-08-18
plymouth.date-finish2016-08-20
plymouth.conference-name2016 International Conference on Advanced Robotics and Mechatronics (ICARM)
plymouth.publication-statusPublished
plymouth.journal2016 International Conference on Advanced Robotics and Mechatronics (ICARM)
dc.identifier.doi10.1109/icarm.2016.7606908
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Institute of Health and Community
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dc.rights.embargoperiodNot known
rioxxterms.funderEPSRC
rioxxterms.identifier.projectVersatile and Dexterous Adaptive Control of Dual-Arm Robots for Personalized Assistance
rioxxterms.versionofrecord10.1109/icarm.2016.7606908
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeConference Paper/Proceeding/Abstract
plymouth.funderVersatile and Dexterous Adaptive Control of Dual-Arm Robots for Personalized Assistance::EPSRC


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