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Exploring Effects of Information Filtering With a VR Interface for Multi-Robot Supervision

Butters, D; Jonasson, ET; Pawar, VM; (2021) Exploring Effects of Information Filtering With a VR Interface for Multi-Robot Supervision. Frontiers in Robotics and AI , 8 , Article 692180. 10.3389/frobt.2021.692180. Green open access

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Abstract

Supervising and controlling remote robot systems currently requires many specialised operators to have knowledge of the internal state of the system in addition to the environment. For applications such as remote maintenance of future nuclear fusion reactors, the number of robots (and hence supervisors) required to maintain or decommission a facility is too large to be financially feasible. To address this issue, this work explores the idea of intelligently filtering information so that a single user can supervise multiple robots safely. We gathered feedback from participants using five methods for teleoperating a semi-autonomous multi-robot system via Virtual Reality (VR). We present a novel 3D interaction method to filter the displayed information to allow the user to read information from the environment without being overwhelmed. The novelty of the interface design is the link between Semantic and Spatial filtering and the hierarchical information contained within the multi robot system. We conducted a user study including a cohort of expert robot teleoperators comparing these methods; highlighting the significant effects of 3D interface design on the performance and perceived workload of a user teleoperating many robot agents in complex environments. The results from this experiment and subjective user feedback will inform future investigations that build upon this initial work.

Type: Article
Title: Exploring Effects of Information Filtering With a VR Interface for Multi-Robot Supervision
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/frobt.2021.692180
Publisher version: https://doi.org/10.3389/frobt.2021.692180
Language: English
Additional information: © 2021 Butters, Jonasson and Pawar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10137142
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