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			<subfield code="a">ARTICLE</subfield>
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			<subfield code="a">Rozo_AURO_2018/IDIAP</subfield>
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			<subfield code="a">Special issue on robot learning for human-robot collaboration</subfield>
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			<subfield code="a">Rozo, L.</subfield>
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			<subfield code="a">Ben Amor, H.</subfield>
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			<subfield code="a">Calinon, Sylvain</subfield>
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			<subfield code="a">Dragan, A.</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Lee, D.</subfield>
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		<datafield tag="653" ind1="1" ind2=" ">
			<subfield code="a">human-robot collaboration</subfield>
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		<datafield tag="653" ind1="1" ind2=" ">
			<subfield code="a">robot learning</subfield>
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		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/papers/2018/Rozo_AURO_2018.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
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		<datafield tag="773" ind1=" " ind2=" ">
			<subfield code="p">Autonomous Robots</subfield>
			<subfield code="v">42</subfield>
			<subfield code="n">5</subfield>
			<subfield code="c">953-956</subfield>
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		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2018</subfield>
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			<subfield code="u">https://link.springer.com/article/10.1007%2Fs10514-018-9756-z</subfield>
			<subfield code="z">URL</subfield>
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			<subfield code="a">10.1007/s10514-018-9756-z</subfield>
			<subfield code="2">doi</subfield>
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			<subfield code="a">The goal of this special issue is to document and highlight recent progress in robot learning for human–robot collaboration (HRC), covering a diversity of articles that reflect the state-of-the-art in the field. Following an open call for papers, we received more than fifty submissions, among which ten articles were selected for the special issue, covering exciting applications spanning co-manipulation, medical robotics, and social behaviors. These works and five additional papers compose a fascinating online topical collection that reports a larger diversity of research advancements in learning for HRC.</subfield>
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