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<titleInfo><title>Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms</title></titleInfo>





<name type="personal">
  <namePart type="given">Helen</namePart>
  <namePart type="family">Beierling</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Kira</namePart>
  <namePart type="family">Loos</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Robin</namePart>
  <namePart type="family">Helmert</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Anna-Lisa</namePart>
  <namePart type="family">Vollmer</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>











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  <namePart>TRR 318 - B5: TRR 318 - Subproject B5</namePart>
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<abstract lang="eng">This position paper calls for an increase in the
number and flexibility of input mechanisms in user-robot in-
teractions, highlighting their potential to enhance learning algo-
rithms through user feedback. Moreover, we argue that refining
interfaces, interactions, and systems is crucial for the optimal
integration of mechanisms into learning processes. Our call
to research involves the development of interfaces that enable
flexible mechanisms, and the mechanisms interactions can benefit
most from, and the algorithmic incorporation of user input. This
aims to advance the adaptability and responsiveness of robotic
systems in human-centric environments</abstract>

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    <url displayLabel="beierling_advancing.pdf">https://ris.uni-paderborn.de/download/55398/55399/beierling_advancing.pdf</url>
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<originInfo><publisher>Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop RSS</publisher><dateIssued encoding="w3cdtf">2024</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<mla>Beierling, Helen, et al. &lt;i&gt;Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms&lt;/i&gt;. Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop RSS, 2024.</mla>
<ama>Beierling H, Loos K, Helmert R, Vollmer A-L. &lt;i&gt;Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms&lt;/i&gt;. Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop RSS; 2024.</ama>
<bibtex>@book{Beierling_Loos_Helmert_Vollmer_2024, title={Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms}, publisher={Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop RSS}, author={Beierling, Helen and Loos, Kira and Helmert, Robin and Vollmer, Anna-Lisa}, year={2024} }</bibtex>
<apa>Beierling, H., Loos, K., Helmert, R., &amp;#38; Vollmer, A.-L. (2024). &lt;i&gt;Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms&lt;/i&gt;. Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop RSS.</apa>
<ieee>H. Beierling, K. Loos, R. Helmert, and A.-L. Vollmer, &lt;i&gt;Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms&lt;/i&gt;. Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop RSS, 2024.</ieee>
<short>H. Beierling, K. Loos, R. Helmert, A.-L. Vollmer, Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms, Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop RSS, 2024.</short>
<chicago>Beierling, Helen, Kira Loos, Robin Helmert, and Anna-Lisa Vollmer. &lt;i&gt;Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms&lt;/i&gt;. Proc. Mech. Mapping Hum. Input Robots Robot Learn. Shared Control/Autonomy-Workshop RSS, 2024.</chicago>
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