Development of a user experience enhanced teleoperation approach
dc.contributor.author | Chen, J | |
dc.contributor.author | Glover, M | |
dc.contributor.author | Li, Chunxu | |
dc.contributor.author | Yang, C | |
dc.date.accessioned | 2020-07-09T05:42:25Z | |
dc.date.available | 2020-07-09T05:42:25Z | |
dc.date.issued | 2016-08 | |
dc.identifier.isbn | 9781509033645 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/15866 | |
dc.description.abstract |
In this paper, we have investigated various techniques that can be used to enhance user experience for robot teleoperation. In our teleoperation system design, the human operator are provided with both immersive visual feedback and intuitive skill transfer interface such that when controlling a telerobot arm, a user is able to feeļ in a first person perspective in terms of both visual and haptic sense. A number of high-tech devices including Omni haptic joystick, MYO armband, Oculus Rift DK2 headset, and Kinect v2 camera are integrated. The surface electromyography (sEMG) signal allows operator to naturally and efficiently transfer his/her motion skill to the robot, based on the properly designed elastic force feedback. For visual feedback, operators can control the pose of a camera on the head of the robot via the wearable visual headset, such that the operator is able to perceive from the roboţs perspective. Extensive tests have been performed with human subjects to evaluate the design, and the experimental results have shown that superior performance and better user experience have been achieved by the proposed method in comparison with the traditional methods. | |
dc.format.extent | 171-177 | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.subject | Clinical Research | |
dc.title | Development of a user experience enhanced teleoperation approach | |
dc.type | conference | |
dc.type | Conference Proceeding | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000386653600030&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.date-start | 2016-08-18 | |
plymouth.date-finish | 2016-08-20 | |
plymouth.conference-name | 2016 International Conference on Advanced Robotics and Mechatronics (ICARM) | |
plymouth.publication-status | Published | |
plymouth.journal | 2016 International Conference on Advanced Robotics and Mechatronics (ICARM) | |
dc.identifier.doi | 10.1109/icarm.2016.7606914 | |
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/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.rights.embargoperiod | Not known | |
rioxxterms.funder | EPSRC | |
rioxxterms.identifier.project | BABEL | |
rioxxterms.versionofrecord | 10.1109/icarm.2016.7606914 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.type | Conference Paper/Proceeding/Abstract | |
plymouth.funder | BABEL::EPSRC |