[PlanetKR] KR2022: Session on KR and Robotics

[Jesse Heyninck]

CALL FOR PAPERS

Call for Papers: KR 2022 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

** 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 sensemaking
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
recognize patterns from the perceptual information collected through their
sensors, much more work is needed to go from pattern recognition to
high-level cognition and sensemaking. 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 characterize 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 (commonsense, 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 emphasizes 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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