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2020
DOI: 10.1109/access.2020.2994374
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A Novel Force Sensorless Reflecting Control for Bilateral Haptic Teleoperation System

Abstract: This paper presents a novel force sensorless reflecting controller for a haptic-enabled device driven by a bilateral pneumatic artificial muscle system, which proposed configuration for the first time the bilateral haptic teleoperation. For details, an adaptive force observer scheme considered to be an alternative to direct force measurement is proposed to estimate the interaction force with an unknown environment for the force reflecting control design. Meanwhile, the separately fast finite time nonsingular t… Show more

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Cited by 14 publications
(10 citation statements)
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“…Interaction between the haptic robot and the MR environment occurs at the haptic interface point (HIP), representing the corresponding position of the physical haptic probe of the master haptic robot [42,43]. The force exerted on the haptic stylus is calculated by simulating a spring between the proxy and the HIP.…”
Section: Mrvf Visual/haptic Workpacementioning
confidence: 99%
“…Interaction between the haptic robot and the MR environment occurs at the haptic interface point (HIP), representing the corresponding position of the physical haptic probe of the master haptic robot [42,43]. The force exerted on the haptic stylus is calculated by simulating a spring between the proxy and the HIP.…”
Section: Mrvf Visual/haptic Workpacementioning
confidence: 99%
“…Additionally, it should be noted that this type of device is essential in the control of semi-autonomous robots [ 32 , 33 ]. At this point, the implementation of interfaces that involved force or haptic feedback [ 34 ] for obstacle avoidance tasks in dynamic environments and assisted navigation [ 35 , 36 ] should be highlighted. Unfortunately, despite their adequate performance, this kind of application has shown calibration problems due to interface vibration [ 37 ].…”
Section: Related Workmentioning
confidence: 99%
“…The idea of fault detection and identification (FDI) method becomes a powerful tool to reach the information of a sensor fault as well as an actuator fault [22]- [25]. In order to deploy the mentioned aim, several observer strategies have been investigated to estimate sensor faults such as adaptive observer [26]- [28], extended Kalman filter [29], [30], and Takagi-Sugeno fuzzy observer [17], [31]. Especially, an unknown input observer (UIO) is not only an accurate estimation but also a helpful method to distinguish disturbances and faults.…”
Section: Introductionmentioning
confidence: 99%