Peers, C, Kanoulas, D, Kaddouh, B et al. (2 more authors) (2022) Dynamic Camera Usage in Mobile Teleoperation System for Buzz Wire Task. In: UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings. #UKRAS22: The 5th UK Robotics and Autonomous Systems Conference, 26 Aug 2022, Aberystwyth, UK. EPSRC UK-Robotics and Autonomous Systems (UK-RAS) Network , pp. 38-39.
Abstract
Visual feedback is the most important form of perception within teleoperation, therefore there is a need for a solution that allows for increased potential information gain that a camera can provide, this can be obtained by having a camera that is able to move its position relatively to the base robot. Therefore, this paper focuses on the use of a drone to act as dynamic camera in teleoperation scenarios. The drone control is performed via the use of hand tracking through a wearable motion capture suit and is built upon an existing teleoperation control framework. The usability of the dynamic camera is demonstrated through the use of a simulated drone to act as a dynamic camera in a simulated buzz wire task.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a conference paper published in UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings. |
Keywords: | legged manipulator; quadruped robot; teleoperation; dynamic camera |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/V026801/1 Innovate UK fka Technology Strategy Board (TSB) Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Aug 2022 11:12 |
Last Modified: | 22 Feb 2024 16:09 |
Status: | Published |
Publisher: | EPSRC UK-Robotics and Autonomous Systems (UK-RAS) Network |
Identification Number: | 10.31256/Gn9Mg2I |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189804 |