Immersive view and interface design for teleoperated aerial manipulation
Author(s)
Type
Conference Paper
Abstract
The recent momentum in aerial manipulation has led to an interest in developing virtual reality interfaces for aerial physical interaction tasks with simple, intuitive, and reliable control and perception. However, this requires the use of expensive subsystems and there is still a research gap between interface design, user evaluations and the effect on aerial manipulation tasks. Here, we present a methodology for low-cost available drone systems with a Unity-based interface for immersive FPV teleoperation. We applied our approach in a flight track where a cluttered environment is used to simulate a demanding aerial manipulation task inspired by forestry drones and canopy sampling. Through objective measures of teleoperation performance and subjective questionnaires, we found that operators performed worse using the FPV interface and had higher perceived levels of cognitive load when compared to traditional interface design. Additional analysis of physiological measures highlighted that objective stress levels and cognitive load were also influenced by task duration and perceived performance, providing an insight into what interfaces could target to support teleoperator requirements during aerial manipulation tasks.
Date Issued
2022-12-26
Date Acceptance
2022-12-01
Citation
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, pp.4919-4926
Publisher
IEEE
Start Page
4919
End Page
4926
Journal / Book Title
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/9981656
Source
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Publication Status
Published
Start Date
2022-10-23
Finish Date
2022-10-27
Coverage Spatial
Kyoto, Japan
Date Publish Online
2022-12-26