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<p><b>DEADLINE EXTENSION</b></p>
<p>**Apologies for cross-posting** </p>
We are happy to announce that the deadline for submissions has
been extended until <u><b>July 15</b></u>.</div>
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<p><b>CALL FOR PAPERS</b><br>
<br>
The <b>full-day virtual</b> workshop:<br>
<br>
<b>Machine Learning for HRI: Bridging the Gap between Action
and Perception (ML-HRI)</b><br>
<br>
In conjunction with the <b>31st IEEE International
Conference on Robot and</b><b> Human Interactive
Communication (RO-MAN) - August 22, 2022 </b><br>
<br>
Webpage: <a href="https://ml-hri2022.ivai.onl/">https://ml-hri2022.ivai.onl/</a></p>
<p><br>
</p>
<p><b>I. Aim and Scope</b></p>
<p>A key factor for the acceptance of robots as partners in
complex and dynamic human-centered environments is their
ability to continuously adapt their behavior. This includes
learning the most appropriate behavior for each encountered
situation based on its specific characteristics as perceived
through the robots senors. To determine the correct actions
the robot has to take into account prior experiences with
the same agents, their current emotional and mental states,
as well as their specific characteristics, e.g.
personalities and preferences. Since every encountered
situation is unique, the appropriate behavior cannot be
hard-coded in advance but must be learned over time through
interactions. Therefore, artificial agents need to be able
to learn continuously what behaviors are most appropriate
for certain situations and people based on feedback and
observations received from the environment to enable more
natural, enjoyful, and effective interactions between humans
and robots.<br>
<br>
This workshop aims to attract the latest research studies
and expertise in human-robot interaction and machine
learning at the intersection of rapidly growing communities,
including social and cognitive robotics, machine learning,
and artificial intelligence, to present novel approaches
aiming at integrating and evaluating machine learning in
HRI. Furthermore, it will provide a venue to discuss the
limitations of the current approaches and future directions
towards creating robots that utilize machine learning to
improve their interaction with humans.<br>
<br>
<b>II. Keynote Speakers and Panelists</b><br>
</p>
<blockquote>
<blockquote> </blockquote>
</blockquote>
<ol>
<li><b>Dorsa Sadigh</b> – Stanford University – USA<br>
</li>
<li><b>Oya Celiktutan</b> – King's College London – UK</li>
<li><b>Sean Andrist </b>– Microsoft – USA</li>
<li><b>Stefan Wermter</b> – University of Hamburg – Germany<br>
</li>
</ol>
<blockquote>
<blockquote> </blockquote>
</blockquote>
<p><b>III. Submission</b><br>
</p>
<blockquote>
<blockquote> </blockquote>
</blockquote>
<ol>
<li>For paper submission, use the following EasyChair web
link: <a
href="https://easychair.org/conferences/?conf=mlhri2022">Paper
Submission</a>.</li>
<li>Use the RO-MAN 2022 format: <a
href="http://www.smile.unina.it/ro-man2022/call-for-papers/">RO-MAN
Papers Templates</a>.</li>
<li>Submitted papers should be 4-6 pages for regular papers
and 2 pages for position papers.<br>
</li>
</ol>
<blockquote>
<blockquote> </blockquote>
</blockquote>
<p> The primary list of topics covers the following points
(but not limited to):</p>
<blockquote>
<blockquote> </blockquote>
</blockquote>
<ul>
<li>Autonomous robot behavior adaptation<br>
</li>
<li>Interactive learning approaches for HRI<br>
</li>
<li>Continual learning<br>
</li>
<li>Meta-learning<br>
</li>
<li>Transfer learning<br>
</li>
<li>Learning for multi-agent systems<br>
</li>
<li>User adaptation of interactive learning approaches<br>
</li>
<li>Architectures, frameworks, and tools for learning in HRI<br>
</li>
<li>Metrics and evaluation criteria for learning systems in
HRI<br>
</li>
<li>Legal and ethical considerations for real-word
deployment of learning approaches</li>
</ul>
<blockquote>
<blockquote> </blockquote>
</blockquote>
<p><b>IV. Important Dates</b><br>
</p>
<blockquote>
<blockquote> </blockquote>
</blockquote>
<ol>
<li>Paper submission: <b><strike>June 17, 2022</strike></b><b>
July 15, 2022 (AoE)</b></li>
<li>Notification of acceptance: <b><strike>August 1, 2022</strike></b>
<b>August 7, 2022 (AoE)</b></li>
<li>Camera ready: <b>August 14, 2022 (AoE)</b><br>
</li>
<li>Workshop: <b>August 22, 2022</b><br>
</li>
</ol>
<blockquote>
<blockquote> </blockquote>
</blockquote>
<b>V. Organizers</b><br>
<blockquote> </blockquote>
<ol>
<li><b>Oliver Roesler</b> – IVAI – Germany<br>
</li>
<li><b>Elahe Bagheri</b> – IVAI – Germany</li>
<li><b>Amir Aly</b> – University of Plymouth – UK</li>
</ol>
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