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Upper Extremity Motion-Based Telemanipulation with Component-Wise Rescaling of Spatial Twist and Parameter-Invariant Skeletal Kinematicsopen access

Authors
Noh, DonghyeonChoi, HaegyeomJeon, HaneulKim, TaehoLee, Donghun
Issue Date
Jan-2024
Publisher
MDPI
Keywords
telemanipulation; teleoperation; human-robot interaction; markerless gesture tracking; wearable IMU sensor
Citation
MATHEMATICS, v.12, no.2
Journal Title
MATHEMATICS
Volume
12
Number
2
URI
https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/49186
DOI
10.3390/math12020358
ISSN
2227-7390
2227-7390
Abstract
This study introduces a framework to improve upper extremity motion-based telemanipulation by component-wise rescaling (CWR) of spatial twist. This method allows for separate adjustments of linear and angular scaling parameters, significantly improving precision and dexterity even when the operator's heading direction changes. By finely controlling both the linear and angular velocities independently, the CWR method enables more accurate telemanipulation in tasks requiring diverse speed and accuracy based on personal preferences or task-specific demands. The study conducted experiments confirming that operators could precisely control the robot gripper with a steady, controlled motion even in confined spaces, irrespective of changes in the subject's body-heading direction. The performance evaluation of the proposed motion-scaling-based telemanipulation leveraged Optitrack's motion-capture system, comparing the trajectories of the operator's hand and the manipulator's end effector (EEF). This verification process solidified the efficacy of the developed framework in enhancing telemanipulation performance.
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