Ghosh, A., Veres, S.M., Peredes-Soto, D. et al. (2 more authors) (2020) Intuitive programming with remotely instructed robots inside future gloveboxes. In: HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. HRI 2020 - ACM/IEEE International Conference on Human-Robot Interaction, 23-26 Mar 2020, Cambridge, UK. Association for Computing Machinery , pp. 209-211. ISBN 9781450370578
Abstract
Our research aims at facilitating the design of ’Remotely Instructed Robots’ for future glove-boxes in the nuclear industry. The two main features of such systems are: (1) They can automatically model the working environment and relay that information to the operator in virtual reality (VR). (2) They can receive instructions from the operator that are executed by the robot. However, the deficiency of these kind of systems is that they heavily rely on knowledge of expert programmers when the robot’s capabilities or hardware are to be reconfigured, altered or upgraded. This late breaking report proposes to introduce a third important advancement on remotely instructed robots: (3) Intuitive programming modifications by operators who are non-programmers but have basic knowledge of hardware, and most importantly, have experience of the weaknesses in particular handling tasks.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Copyright held by the owner/author(s). This is an author-produced version of a paper subsequently published in HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Human-Robot Interaction; Nuclear glove-boxes; Intuitive interfaces; Language based interactions |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Feb 2020 15:13 |
Last Modified: | 06 May 2020 14:19 |
Status: | Published |
Publisher: | Association for Computing Machinery |
Refereed: | Yes |
Identification Number: | 10.1145/3371382.3378326 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156038 |