[agents] Call for Papers: Special Session on KR and Robotics

[AndreA Orlandini]

[Apologies for multiple postings]

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CALL FOR PAPERS

*Call for Papers: Special Session on KR and Robotics*

July 31 - August 5, 2022, Haifa, Israel

https://kr2022.cs.tu-dortmund.de/cfp_special_session_kr_and_robotics.php 
<https://kr2022.cs.tu-dortmund.de/cfp_applications_and_systems_track.php>

*** IMPORTANT DATES ***

* Submission of title and abstract: February 2, 2022

* Paper submission deadline: February 9, 2022

* Author response period: March 29-31, 2022

* Author notification: April 15, 2022

* Camera-ready papers: May 7, 2022

* Conference: July 31 - August 5, 2022

*** DESCRIPTION **

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

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.

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.

*** EXPECTED CONTRIBUTIONS ***

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:

* Reasoning with different sensory modalities;

* Sensor interpretation and continuous data streams in robotic scenarios;

* Reasoning with time and space;

* Grounding representations in the physical world;

* Time-valid representations and handling change;

* Dealing with uncertain, incomplete or contradictory information;

* Detecting and handling errors and anomalies;

* Reasoning with bounded computational resources;

* Modelling different types of robot intelligence (social, affective, 
visual, and others);

* Human-Robot Interaction;

* Cognitive Architectures for Robotics;

* Ontology Engineering for Robotics;

* Knowledge Graphs for Robotics;

* Representing implicit knowledge (common-sense, plausibility, 
typicality) for use in robotics applications;

* Applying general-purpose knowledge-bases to scenarios in robotics;

* Combining quantitative and qualitative knowledge representations;

* Integrating different computational methods– e.g., data-driven and 
knowledge-driven;

* Integrating symbolic and sub-symbolic approaches;

* Explainable and transparent robot behaviours;

* Reasoning for deliberation and decision-making;

* Reasoning for planning and task allocation;

* Combining reasoning with control theories;

* Causal reasoning in robotics applications;

* Orchestrating Multi-Robot Systems.

*** INFORMATION FOR AUTHORS ***

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:

https://kr2022.cs.tu-dortmund.de/submission.php

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.

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.

*** CHAIRS ***

Gabriella Cortellessa (National Research Council, Italy)

Enrico Motta (The Open University, UK)

Agnese Chiatti (The Open University, UK, Assistant Chair)


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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:andrea.orlandini at istc.cnr.it
  Fax:    +39-06-44595-243      Url:http://www.istc.cnr.it/group/pst
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Me, the one and only person that never leaves me alone!
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