Augmented reality-based telepresence in a robotic manipulation task

An experimental evaluation

Journal Article (2023)
Author(s)

Thomas A.B. de Boer (TU Delft - Mechanical Engineering)

Joost C.F. de Winter (TU Delft - Mechanical Engineering)

Yke Bauke Eisma (TU Delft - Mechanical Engineering)

Research Group
Human-Robot Interaction
DOI related publication
https://doi.org/10.1049/cim2.12085 Final published version
More Info
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Publication Year
2023
Language
English
Research Group
Human-Robot Interaction
Issue number
4
Volume number
5
Article number
e12085
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Abstract

A spectrum of control methods in human–robot interaction was investigated, ranging from direct control to telepresence with a virtual representation of the robot arm. A total of 24 participants used a setup that included a Franka Emika Panda robot arm, Varjo XR-3 head-mounted display, and Leap Motion Controller. Participants performed a box-and-block task using the bare hand (A), and under five gesture-controlled robotic operation methods: direct sight (B), sight via video-feedthrough (C), in a 3D telepresence environment with (D) and without (E) virtual representation of the robot arm, and using a 2D video feed (F). The number of grabbing attempts did not differ significantly between conditions, but local operation (B & C) yielded more transferred blocks than teleoperation (D–F). Teleoperation using a 3D presentation was advantageous compared to teleoperation using a 2D video feed, as demonstrated by lower peak forces and smaller range in gripper heights in conditions D and E compared to condition F, a finding supported by analyses of the head movement activity. Finally, the bare hand yielded the best performance and subjective ratings. In summary, teleoperation using a 3D presentation provided a smoother interaction than teleoperation with a 2D video feed. However, direct human interaction remains a benchmark yet to surpass.