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Improving the Human—Robot Interface Through Adaptive Multispace Transformation.

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Title: Improving the Human—Robot Interface Through Adaptive Multispace Transformation.
Authors: Muñoz, Luis M.1 luis.miguel.munoz@upc.edu, Casals, Alicia2 alicia.casals@upc.edu
Source: IEEE Transactions on Robotics. Oct2009, Vol. 25 Issue 5, p1208-1213. 6p. 1 Chart, 2 Graphs.
Subjects: Remote control, Programmable peripheral interfaces, Mathematical transformations, Human-robot interaction, Human-computer interaction
Abstract: Teleoperation is essential for applications in which, despite the availability of a precise geometrical definition of the working area, a task cannot be explicitly programmed. This paper describes a method of assisted teleoperation that improves the execution of such tasks in terms of ergonomics, precision, and reduction of execution time. The relationships between the operating spaces corresponding to the human-robot interface triangle are analyzed. The proposed teleoperation aid is based on applying adaptive transformations between these spaces. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Robotics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 44964328
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Improving the Human—Robot Interface Through Adaptive Multispace Transformation.
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  Data: <searchLink fieldCode="AR" term="%22Muñoz%2C+Luis+M%2E%22">Muñoz, Luis M.</searchLink><relatesTo>1</relatesTo><i> luis.miguel.munoz@upc.edu</i><br /><searchLink fieldCode="AR" term="%22Casals%2C+Alicia%22">Casals, Alicia</searchLink><relatesTo>2</relatesTo><i> alicia.casals@upc.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Robotics%22">IEEE Transactions on Robotics</searchLink>. Oct2009, Vol. 25 Issue 5, p1208-1213. 6p. 1 Chart, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Remote+control%22">Remote control</searchLink><br /><searchLink fieldCode="DE" term="%22Programmable+peripheral+interfaces%22">Programmable peripheral interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+transformations%22">Mathematical transformations</searchLink><br /><searchLink fieldCode="DE" term="%22Human-robot+interaction%22">Human-robot interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink>
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  Data: Teleoperation is essential for applications in which, despite the availability of a precise geometrical definition of the working area, a task cannot be explicitly programmed. This paper describes a method of assisted teleoperation that improves the execution of such tasks in terms of ergonomics, precision, and reduction of execution time. The relationships between the operating spaces corresponding to the human-robot interface triangle are analyzed. The proposed teleoperation aid is based on applying adaptive transformations between these spaces. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of IEEE Transactions on Robotics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TRO.2009.2024790
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      – Code: eng
        Text: English
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        PageCount: 6
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      – SubjectFull: Remote control
        Type: general
      – SubjectFull: Programmable peripheral interfaces
        Type: general
      – SubjectFull: Mathematical transformations
        Type: general
      – SubjectFull: Human-robot interaction
        Type: general
      – SubjectFull: Human-computer interaction
        Type: general
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      – TitleFull: Improving the Human—Robot Interface Through Adaptive Multispace Transformation.
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            NameFull: Muñoz, Luis M.
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            NameFull: Casals, Alicia
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              Text: Oct2009
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              Y: 2009
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