2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP) 2013
DOI: 10.1109/iccp.2013.6646125
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Performance analysis of WLAN based mobile robot teleoperation

Abstract: The present paper demonstrates through experiments that the performance of a teleoperated robot system is strongly influenced by the quality of the communication environment, which in our case was a wireless LAN (WLAN). We analyzed the path following capability of a human operator in the case of a teleoperated robot, with haptic feedback. We investigated the influence of external WLAN traffic over the precision of robot tracking. The paper presents both the design of the bilateral teleoperation system for mobi… Show more

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Cited by 5 publications
(2 citation statements)
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“…[3,10], [4,11], [5,11] As a result, the FIN algorithm can decide which sensor has the smallest distance reading with known radial errors and view angle as given in (1). Then, rotate the reading distance (short of "RD") to the original axis coordinate to find the shortest distance (short of "SD") as given in (2). Finally, to estimate the shortest distance the T-norms should be used as given in (3).…”
Section: A Sub Controllermentioning
confidence: 99%
“…[3,10], [4,11], [5,11] As a result, the FIN algorithm can decide which sensor has the smallest distance reading with known radial errors and view angle as given in (1). Then, rotate the reading distance (short of "RD") to the original axis coordinate to find the shortest distance (short of "SD") as given in (2). Finally, to estimate the shortest distance the T-norms should be used as given in (3).…”
Section: A Sub Controllermentioning
confidence: 99%
“…The operator is first trained in a workspace, and then this workspace is changed. For example, a new obstacle is placed right in the path of the learned trajectory and the operator has to circumvent the object [1,241].…”
Section: Changed Workpacementioning
confidence: 99%