2017 IEEE World Haptics Conference (WHC) 2017
DOI: 10.1109/whc.2017.7989900
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Training in divergent and convergent force fields during 6-DOF teleoperation with a robot-assisted surgical system

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Cited by 29 publications
(18 citation statements)
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“…In contrast, the attractive mode proved to be more intuitive for initiating left and right wrist rotations [33]; in the wrist guidance in 2-D space, the "pull" approach (attractive) allows participants to perform better with respect to the "push" mapping (repulsive) [34]. Furthermore, in a recent study on the training in divergent (repulsive) and convergent (attractive) force field during teleoperation with a robot-assisted surgical system, a better performance of the repulsive field was highlighted throughout the training, even though no significant differences were found at the end of the experiments [35].…”
mentioning
confidence: 99%
“…In contrast, the attractive mode proved to be more intuitive for initiating left and right wrist rotations [33]; in the wrist guidance in 2-D space, the "pull" approach (attractive) allows participants to perform better with respect to the "push" mapping (repulsive) [34]. Furthermore, in a recent study on the training in divergent (repulsive) and convergent (attractive) force field during teleoperation with a robot-assisted surgical system, a better performance of the repulsive field was highlighted throughout the training, even though no significant differences were found at the end of the experiments [35].…”
mentioning
confidence: 99%
“…The guidance hypothesis [13] confirms that the guiding properties of augmented feedback are beneficial for motor learning when knowledge about the outcome is used to correct errors and improve subsequent performance, but detrimental when guiding affects processes important for learning. For example, practice with a high frequency of augmented feedback can affect learning by excessive reliance on external cues [12]. According to Schmidt [13], dependency on the robotic assistance can be addressed by gradually decreasing the guidance constraints intensity as the user learns.…”
Section: Related Workmentioning
confidence: 99%
“…Few works instead have found significant benefits of a simulated environment that enhance a training process with augmented forces [9], such as guidance constrain. The performance of attractive force applied to the robotic tool getting away from the constrained have been judged beneficial [10], null [11] and even detrimental [12].…”
Section: Introductionmentioning
confidence: 99%
“…This paper presents the integration and test of a cable-driven haptic guidance in the FlyJacket. This work is motivated by several results showing that haptic feedback improves the task performance in many domains such as for surgery [7], rehabilitation [8] or sports [9], [10]. Haptic feedback has been implemented as a force feedback on joysticks to control flight for obstacles avoidance [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…proportional-derivative control) on the error between the robot position and a reference trajectory are typically used [7], [8], [16][17][18]. The stiffness of the guidance is a very important feature because a too soft guidance may not be effective while a too strong guidance may lead to user passivity [16], [17], [19].…”
Section: Introductionmentioning
confidence: 99%