[PlanetKR] ROBONTICS 2020 -- 2nd Call for Papers

Stefano Borgo stefano.borgo at cnr.it
Sat Jun 13 04:22:35 EST 2020

++ ROBONTICS 2020 -- 2nd Call for Papers ++

International Workshop on Ontologies for Autonomous Robotics
Submission deadline: Aug 7, 2020 [NEW!]
Workshop date: Sept. 13, 2020


we encourage researchers interested in the fields of robotics and 
knowledge engineering to submit research and position papers by Aug 7; 
accepted papers will be published in a ROBONTICS CEUR volume in 2020;

our plan is to have the paper presentations at the ROBONTICS 2021 
workshop which we plan to run next year (researchers with accepted 
papers at ROBONTICS 2020 will be invited to present there).


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, and of 
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: Aug 7, 2020
Review notification: Aug 25, 2020
Camera-ready: Sept 1, 2020
Workshop: Sept 13, 2020


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 

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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