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<p><b>CALL FOR PAPERS</b><br>
<br>
**Apologies for cross-posting**<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>June 17, 2022 (AoE)</b></li>
<li>Notification of acceptance: <b>August 1, 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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