ViewVR: Visual Feedback Modes to Achieve Quality of VR-based Telemanipulation

A. Erkhov; A. Bazhenov; S. Satsevich; D. Belov; F. Khabibullin; S. Egorov; M. Gromakov; M. Altamirano Cabrera; D. Tsetserukou

ViewVR: Visual Feedback Modes to Achieve Quality of VR-based Telemanipulation

Robotics 2025-01-14 v1

Authors: A. Erkhov , A. Bazhenov , S. Satsevich , D. Belov , F. Khabibullin , S. Egorov , M. Gromakov , M. Altamirano Cabrera , D. Tsetserukou

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Abstract

The paper focuses on an immersive teleoperation system that enhances operator's ability to actively perceive the robot's surroundings. A consumer-grade HTC Vive VR system was used to synchronize the operator's hand and head movements with a UR3 robot and a custom-built robotic head with two degrees of freedom (2-DoF). The system's usability, manipulation efficiency, and intuitiveness of control were evaluated in comparison with static head camera positioning across three distinct tasks. Code and other supplementary materials can be accessed by link: https://github.com/ErkhovArtem/ViewVR

Keywords

teleoperation virtual reality surgical robot

Cite

@article{arxiv.2501.07299,
  title  = {ViewVR: Visual Feedback Modes to Achieve Quality of VR-based Telemanipulation},
  author = {A. Erkhov and A. Bazhenov and S. Satsevich and D. Belov and F. Khabibullin and S. Egorov and M. Gromakov and M. Altamirano Cabrera and D. Tsetserukou},
  journal= {arXiv preprint arXiv:2501.07299},
  year   = {2025}
}

ViewVR: Visual Feedback Modes to Achieve Quality of VR-based Telemanipulation

Abstract

Keywords

Cite

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