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A Virtual Reality Teleoperation Interface for Industrial Robot Manipulators

arXiv 2305.10960 ↗First posted 18 May 2023cs.RO cs.AIcited by 0

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Abstract (arXiv)

We address the problem of teleoperating an industrial robot manipulator via a commercially available Virtual Reality (VR) interface. Previous works on VR teleoperation for robot manipulators focus primarily on collaborative or research robot platforms (whose dynamics and constraints differ from industrial robot arms), or only address tasks where the robot's dynamics are not as important (e.g: pick and place tasks). We investigate the usage of commercially available VR interfaces for effectively teleoeprating industrial robot manipulators in a variety of contact-rich manipulation tasks. We find that applying standard practices for VR control of robot arms is challenging for industrial platforms because torque and velocity control is not exposed, and position control is mediated through a black-box controller. To mitigate these problems, we propose a simplified filtering approach to process command signals to enable operators to effectively teleoperate industrial robot arms with VR interfaces in dexterous manipulation tasks. We hope our findings will help robot practitioners implement and setup effective VR teleoperation interfaces for robot manipulators. The proposed method is demonstrated on a variety of contact-rich manipulation tasks which can also involve very precise movement of the robot during execution (videos can be found at https://www.youtube.com/watch?v=OhkCB9mOaBc)

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 13 references that are in the map. First posted on arXiv 18 May 2023.

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4 of 13 references.

References · 4

  1. 2017Baxter's Homunculus: Virtual Reality Spaces for Teleoperation in Manufacturingcited by 19
  2. 2022Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimizationcited by 8
  3. 2022Design of Adaptive Compliance Controllers for Safe Robotic Assemblycited by 4
  4. 2022Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Controlcited by 1

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