[DL] Call for Papers: Special Session on KR & Machine Learning (KR2021)

Thanh Dinh thanh.dinhvan at gmail.com
Thu Jan 7 16:42:45 CET 2021


**Special Session on Knowledge Representation and Robotics** at the
18th Conference on Principles of Knowledge Representation and Reasoning 

November 6-12, 2021, Hanoi, Vietnam



Important Dates


Submission of title and abstract:         March 24, 2021

Paper submission deadline:                 March 31, 2021

Author response period:                 May 24-26, 2021

Notification:                                 June 15, 2021

Camera-ready papers:                         July 14, 2021

Conference dates:                         November 6-12, 2021


Much progress has been made in robotics through the introduction of machine
learning, often leading to autonomous systems that are effective but 
opaque with
inexplicable behaviours.

Many applications, however, require robots to explicitly capture 
knowledge and
reason with it in order to achieve high-level cognitive skills. This 
session is devoted to exploring the intersection of Knowledge 
and Robotics.

Papers are solicited in all areas of this intersection.  In particular, we
welcome papers that extend knowledge representation techniques to cope with
the challenges posed by interacting with the physical world, such as:

- dealing with uncertain, incomplete or contradictory information;

- reasoning with time, space and perceptions;

- grounding representations in the physical world;

- combining discrete and continuous representations;

- reasoning with bounded computational resources;

- trustworthy and accountable robot behaviours; and

- social intelligence for robots in human-centric environments.

Robots are the archetypical integrated cognitive systems.  Thus, we also 
papers that address the integration of knowledge representation into whole
robotic systems, such as:

- integrating knowledge representation and machine learning;

- integrating symbolic and sub-symbolic approaches;

- integrating reasoning about actions and control; or

- cognitive robot architectures.

Finally, we welcome papers that show concrete examples where real
robotic systems benefit from knowledge representation, for instance in:

- sensor interpretation and understanding;

- human-robot interaction;

- multi-robot planning and coordination; or

- dealing with errors and unexpected situations.


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 Authors Guidelines for KR2021.

The special session emphasizes KR & Robotics, and welcomes contributions 
extend the state of the art at the intersection of KR & Robotics. 
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.  Submissions will be evaluated on the basis of the overall
quality of their technical contribution, including criteria such as 
soundness, relevance, significance, quality of presentation, and 
of the state of the art.




Alessandro Saffiotti (University of Orebro, Sweden)

Mary-Anne Williams (University of New South Wales, Australia)


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