[robotics-worldwide] [meetings] CfP: Call for Papers RobOntics Workshop @Bosk 2020

Mohammed Diab m.diab.phd at gmail.com
Mon Mar 30 12:39:38 PDT 2020

International Workshop on Ontologies for Autonomous Robotics
Submission deadline: June 29, 2020
Workshop date: Sept. 13, 2020

part of BOSK 2020, Bolzano Summer of Knowledge, Sept. 7-25, 2020
Bolzano, Italy


ROBONTICS focuses on the area of robot autonomy enabled by
knowledge-driven approaches, and in particular formal ontologies. Its
aims to foster interaction across robotics, ontology, and knowledge
representation and reasoning, to match open problems to promising
approaches, and to review progress in knowledge-driven robotics.

Today ontologies are used in robotics and standardization efforts for
robotics knowledge management. Many open problems involve autonomous
robotic agents operating in natural or human environments, and several
research projects in healthcare assistance, logistics, autonomous
driving, etc, aim to bring robots into realistic human environments.

One of the difficulties is the large amount of real-world knowledge that
an agent needs to have to be able to act competently and autonomously.
Further, any item of knowledge is often relevant for many agents and
behaviors, and as such should be reusable. To garner trust and enable
debugging, knowledge should also be accessible to human operators, both
in terms of explaining what knowledge is present in a system, as well as
providing ways to easily amend it if necessary.

LIST OF TOPICS (partial)

Foundational issues:
- are there some ontological approaches better suited than others for
autonomous robotics? why?
- how should we ontologically model notions like capability, action,
interaction, context, etc. in robotics?
- how can ontologies be used to help robots cope with the variety and
relatively fluid structure of human environments?
Ontologies in the perception-action loop:
- what roles can ontology play in autonomous manipulation?
- how can we help robots autonomously cope with manipulation problems
using ontology?
- how can ontology be used to support machine learning for object
- how can knowledge about other agents present in the environment be
- how should we ontologically model the flow of interaction, such as a
conversation or shared task?
Normed behavior:
- how should we ontologically represent, and then have a robot act
according to, norms on behavior such as cultural expectations?
- how can these expectations be acquired, and would they be the same for
robots as they are for humans?
- decision chains are very complex; how can these be organized and
presented at various levels of detail for the benefit of a human user?
- what is an explanation ontologically?
- what is a good explanation?
- how can an explanation be generated from the available knowledge?


Submission deadline: June 29, 2020
Review notification: July 27, 2020
Camera-ready: August 17, 2020
Workshop: September 13 (half day)


We welcome papers presenting initial or ongoing research as well as
position papers. Submitted papers must not exceed 6 pages (not including
references) in IOS Press format

Papers must be submitted electronically in PDF, using this link:


Accepted contributions to the workshop will be published in an
open-access CEUR volume as part of the new IAOA series (see
https://urldefense.com/v3/__http://ceur-ws.org/iaoa.html__;!!LIr3w8kk_Xxm!9diPECDcGEgJrYghtr1fgSi-Ib9lAmNy_pIlFGLQi8C7Xuxp5IED8gnOU6MHu5IaHI2P-k5h$ ).

WORKSHOP CO-CHAIRS (alphabetic order)

Daniel Beßler, University of Bremen, Germany
Stefano Borgo, ISTC-CNR, Trento, Italy
Mohammed Diab, Universitat Politècnica de Catalunya, Barcelona, Spain
Aldo Gangemi, University of Bologna and ISTC-CNR, Italy
Alberto Olivares-Alarcos, Institut de Robòtica i Informàtica Industrial
(CSIC-UPC), Barcelona, Spain
Mihai Pomarlan, University of Bremen, Germany
Robert Porzel, University of Bremen, Germany

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