Disentangling Coordiante Frames for Task Specific Motion Retargeting in Teleoperation using Shared Control and VR Controllers

Fuente: arXiv
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Autores principales: Grobbel, Max, Flögel, Daniel, Rigoll, Philipp, Hohmann, Sören
Formato: Preprint
Publicado: 2025
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author Grobbel, Max
Flögel, Daniel
Rigoll, Philipp
Hohmann, Sören
author_facet Grobbel, Max
Flögel, Daniel
Rigoll, Philipp
Hohmann, Sören
contents Task performance in terms of task completion time in teleoperation is still far behind compared to humans conducting tasks directly. One large identified impact on this is the human capability to perform transformations and alignments, which is directly influenced by the point of view and the motion retargeting strategy. In modern teleoperation systems, motion retargeting is usually implemented through a one time calibration or switching modes. Complex tasks, like concatenated screwing, might be difficult, because the operator has to align (e.g. mirror) rotational and translational input commands. Recent research has shown, that the separation of translation and rotation leads to increased task performance. This work proposes a formal motion retargeting method, which separates translational and rotational input commands. This method is then included in a optimal control based trajectory planner and shown to work on a UR5e manipulator.
format Preprint
id arxiv_https___arxiv_org_abs_2505_13054
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Disentangling Coordiante Frames for Task Specific Motion Retargeting in Teleoperation using Shared Control and VR Controllers
Grobbel, Max
Flögel, Daniel
Rigoll, Philipp
Hohmann, Sören
Robotics
Human-Computer Interaction
Systems and Control
Task performance in terms of task completion time in teleoperation is still far behind compared to humans conducting tasks directly. One large identified impact on this is the human capability to perform transformations and alignments, which is directly influenced by the point of view and the motion retargeting strategy. In modern teleoperation systems, motion retargeting is usually implemented through a one time calibration or switching modes. Complex tasks, like concatenated screwing, might be difficult, because the operator has to align (e.g. mirror) rotational and translational input commands. Recent research has shown, that the separation of translation and rotation leads to increased task performance. This work proposes a formal motion retargeting method, which separates translational and rotational input commands. This method is then included in a optimal control based trajectory planner and shown to work on a UR5e manipulator.
title Disentangling Coordiante Frames for Task Specific Motion Retargeting in Teleoperation using Shared Control and VR Controllers
topic Robotics
Human-Computer Interaction
Systems and Control
url https://arxiv.org/abs/2505.13054