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<p>CALL FOR PAPERS</p>
<p><b>Call for Papers: Special Session on KR and Robotics</b><br>
</p>
<p>July 31 - August 5, 2022, Haifa, Israel</p>
<p><span style="text-decoration: underline;"><a
href="https://kr2022.cs.tu-dortmund.de/cfp_applications_and_systems_track.php"
moz-do-not-send="true">https://kr2022.cs.tu-dortmund.de/cfp_special_session_kr_and_robotics.php</a></span></p>
<p><b>** IMPORTANT DATES **</b></p>
<p>* Submission of title and abstract: February 2, 2022</p>
<p>* Paper submission deadline: February 9, 2022</p>
<p>* Author response period: March 29-31, 2022</p>
<p>* Author notification: April 15, 2022</p>
<p>* Camera-ready papers: May 7, 2022</p>
<p>* Conference: July 31 - August 5, 2022</p>
<p><b>** DESCRIPTION *</b></p>
<p>In recent years, the fast-paced evolution of the Artificial
Intelligence and Robotics fields has facilitated the development
of scalable and cost-effective robotic solutions. Indeed,
autonomous agents have been deployed in many scenarios, which
include both industrial and manufacturing contexts, as well as
applications in the tertiary sector. Most recently, there has also
been increased interest in integrating robots within a broader
Smart City environment as well as in Healthcare and Assistive
scenarios. However, to operate reliably in the real world, robots
need high-level cognitive skills: e.g., advanced motor skills,
representations of the world around them, representations of the
users they interact with, decisional autonomy, task planning,
problem solving, interaction capabilities grounded on sensory
modalities, and sophisticated sense-making skills, to name just a
few</p>
<p>In addition, while the success of data-driven paradigms, namely
of Machine Learning and Deep Learning methods, has magnified the
robots' ability to recognise patterns from the perceptual
information collected through their sensors, much more work is
needed to go from pattern recognition to high-level cognition and
sense-making. To this purpose, robots also need access to
knowledge representations that are more comprehensive and
explainable than those embedded in data-driven methods. They need
knowledge about their capabilities and features of the environment
(e.g., human users, other robots, devices, etc.) in order to
characterise and understand the relationships between their
internal structures and the environment. Analogously, when
interacting with humans, robots should be endowed with some kind
of common sense or "human-level" knowledge in order to properly
evaluate, for example, social norms or expected affordances of
objects in the environment.</p>
<p>Furthermore, they also need robust mechanisms to reason on these
knowledge representations. A key requirement, in this context, is
ensuring that knowledge representations and knowledge-based
reasoning techniques are suitable for robotic applications.</p>
<p><b>** EXPECTED CONTRIBUTIONS **</b></p>
<p>This special session welcomes contributions at the intersection
of Knowledge Representation and Robotics. We solicit papers which
extend knowledge representation and reasoning methods to address
the challenges faced by robots operating in the real world. Themes
of interest to this session include, but are not limited to:</p>
<p>* Reasoning with different sensory modalities;</p>
<p>* Sensor interpretation and continuous data streams in robotic
scenarios;</p>
<p>* Reasoning with time and space;</p>
<p>* Grounding representations in the physical world;</p>
<p>* Time-valid representations and handling change;</p>
<p>* Dealing with uncertain, incomplete or contradictory
information;</p>
<p>* Detecting and handling errors and anomalies;</p>
<p>* Reasoning with bounded computational resources;</p>
<p>* Modelling different types of robot intelligence (social,
affective, visual, and others);</p>
<p>* Human-Robot Interaction;</p>
<p>* Cognitive Architectures for Robotics;</p>
<p>* Ontology Engineering for Robotics;</p>
<p>* Knowledge Graphs for Robotics;</p>
<p>* Representing implicit knowledge (common-sense, plausibility,
typicality) for use in robotics applications;</p>
<p>* Applying general-purpose knowledge-bases to scenarios in
robotics;</p>
<p>* Combining quantitative and qualitative knowledge
representations;</p>
<p>* Integrating different computational methods– e.g., data-driven
and knowledge-driven;</p>
<p>* Integrating symbolic and sub-symbolic approaches;</p>
<p>* Explainable and transparent robot behaviours;</p>
<p>* Reasoning for deliberation and decision-making;</p>
<p>* Reasoning for planning and task allocation;</p>
<p>* Combining reasoning with control theories;</p>
<p>* Causal reasoning in robotics applications;</p>
<p>* Orchestrating Multi-Robot Systems.</p>
<p><b>** INFORMATION FOR AUTHORS **</b></p>
<p>The Special Session on KR & Robotics will allow contributions
of both regular papers (9 pages) and short papers (4 pages),
excluding references, prepared and submitted according to the
authors guidelines detailed on the submission page:</p>
<p><span style="text-decoration: underline;"><a
href="https://kr2022.cs.tu-dortmund.de/submission.php"
moz-do-not-send="true" class="moz-txt-link-freetext">https://kr2022.cs.tu-dortmund.de/submission.php</a></span></p>
<p>The special session emphasises KR & Robotics, and welcomes
contributions that extend the state of the art at the intersection
of KR & Robotics. Therefore, KR-only or Robotics-only
submissions will not be accepted for evaluation in this special
session.<br>
</p>
<p>Submissions will be rigorously peer reviewed by PC members who
are active in KR & Robotics. They will be evaluated on the
basis of the overall quality of their scientific contribution,
including criteria such as originality, soundness, relevance,
significance, quality of presentation, and awareness of the state
of the art.</p>
<p><b>** CHAIRS **</b></p>
<p>Gabriella Cortellessa (National Research Council, Italy)</p>
<p>Enrico Motta (The Open University, UK)</p>
<p>Agnese Chiatti (The Open University, UK, Assistant Chair)</p>
<br>
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AndreA Orlandini PhD
National Research Council of Italy
Institute for Cognitive Science and Technology
Phone: +39-06-44595-223 E-mail: <a class="moz-txt-link-abbreviated" href="mailto:andrea.orlandini@istc.cnr.it">andrea.orlandini@istc.cnr.it</a>
Fax: +39-06-44595-243 Url: <a class="moz-txt-link-freetext" href="http://www.istc.cnr.it/group/pst">http://www.istc.cnr.it/group/pst</a>
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Me, the one and only person that never leaves me alone!
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