2009
DOI: 10.1109/tmech.2008.2006181
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On Extending the Wave Variable Method to Multiple-DOF Teleoperation Systems

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Cited by 34 publications
(15 citation statements)
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“…The stability analysis for wave variable method introduced in [12−14] was established for the single degree of freedom (DOF) linearized master and slave manipulators. Alise et al [15] extended such wave variable mechanism to multiple-DOF systems. In [16,17], authors presented teleoperation systems in the presence of time varying communication delays.…”
Section: Introductionmentioning
confidence: 99%
“…The stability analysis for wave variable method introduced in [12−14] was established for the single degree of freedom (DOF) linearized master and slave manipulators. Alise et al [15] extended such wave variable mechanism to multiple-DOF systems. In [16,17], authors presented teleoperation systems in the presence of time varying communication delays.…”
Section: Introductionmentioning
confidence: 99%
“…The predictive control based approaches well compensates the time delay affectively by improving performance but require slave site information [3], [4]. Very limited approaches, therefore, have been extended from single to m-DOF haptic teleoparaion notably wave variable (WV) [3], [5], Linear Quadratic Gaussian (LQG) [6] and passivity [7]. Munir and Book [3] proposed a combination of wave variable with prediction for m-DOF teleoperation systems to enhance performance.…”
Section: Introductionmentioning
confidence: 99%
“…Munir and Book [3] proposed a combination of wave variable with prediction for m-DOF teleoperation systems to enhance performance. On the other hand, Alise et al [5] presented the straight forward extension of wave variable approach. Model mis-match in the [3] can destabilize the overall teleoperation until some extra passivity enforcing regulator is used.…”
Section: Introductionmentioning
confidence: 99%
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“…This mode requires complete attention of the human operator during the whole operation and every single decision is made by the operator and the robot has zero intelligence. 4,5 In semi-autonomous mode, the human and the robot collaboratively control parts of the functions required to accomplish the goal. The amount of functions left to the robot depends on the level of robot intelligence, in most scenarios the repetitive, low-level tasks are handled by robots and only few high-level tasks and decisions making steps are handled by humans.…”
Section: Introductionmentioning
confidence: 99%