AKR3: 1st International Workshop on Actionable Knowledge Representation for Robots
co-located with the Extended Semantic Web Conference (ESWC24) in Hersonissos, Crete, Greece, May 28th-29th
https://kr3-workshop.net/
The Actionable Knowledge Representation and Reasoning for Robots (AKR3) workshop, co-located with the Extended Semantic Web Conference (ESWC), is dedicated to Knowledge Representation and Reasoning (KRR) in the area of cognitive robotics, with the focus on acquiring knowledge from the Web and making it actionable for robotic applications. We aim to bring together the European communities specializing in KRR and robotics to increase collaboration and accelerate advancements in the field.
Household robots are still not able to autonomously prepare meals, set or clean the table or do other chores besides vacuum cleaning. Much of the knowledge needed to refine vague task instructions and transfer them to new task variations is contained in instruction websites like WikiHow, encyclopedic web sites like Wikipedia, and many other web-based information sources. We argue that such knowledge can be used to teach robots to perform new task variations.
Given the availability of a plethora of sources and datasets of common sense knowledge on the Web (e.g. ConceptNet, OMICS, CSKG) as well as recent advances in language modeling, it is a timely research question to investigate which methods and approaches can enable robots to take advantage of existing common sense and task knowledge to reason on how to perform tasks in the real world. The main issue to be addressed in particular is how to allow robots to perform tasks flexibly and adaptively, gracefully handling contextually determined variance in task execution. We expect this line of research to contribute to better generalizability and robustness of robots performing in every-day environments.
Submission Guidelines:
We solicit papers on the following guiding topics, but are open to any related research direction and topic:
– Knowledge Representation for cognitive robotics: The importance of linking object to action and environment information
– Approaches to leverage common sense and task knowledge from existing structured (e.g., common sense knowledge bases) or unstructured (e.g., the Web) sources
– Linking common sense knowledge to perception and execution
– Translation of task requests to body movements and parametrisation of such body movements with Web knowledge
– Novel formalisms and approaches to represent and encode knowledge for robots
– Novel cognitive architectures and paradigms supporting reasoning with Web knowledge
– Use of large language models and prompting to infer action-relevant knowledge
– Natural language processing applied to common sense and task knowledge extraction from unstructured source
All papers must represent original work not submitted or published already at another workshop or conference, in the following formats:
– Full papers of up to 12 pages excluding references (formatted according to Springer LNCS) describing novel and substantial work including an evaluation / validation of the proposed approach
– Short papers of up to 8 pages excluding references (formatted according to Springer LNCS) describing preliminary work or a position
Papers should be submitted via Easychair: https://easychair.org/conferences/?conf=r3
Important Dates:
Full Paper Submission: March 7th, 2024
Notification of Acceptance: April 4th, 2024
Camera-ready version: April 18th, 2024
Workshop: May 26th/27th
Organising Committee:
Michael Beetz, Bremen University, Germany
Philipp Cimiano, Bielefeld University, Germany
Michaela Kümpel, Bremen University, Germany
Enrico Motta, Knowledge Media Institute, United Kingdom
Ilaria Tiddi, Vrije Universiteit Amsterdam, The Netherlands
Jan-Philipp Töberg, Bielefeld University, Germany
Program Committee:
Mark Adamik, Vrije Universiteit Amsterdam, Netherlands
Gianluca Bardaro, Politecnico di Milano, Italy
Daniel Beßler, Bremen University, Germany
Agnese Chiatti, Politecnico di Milano, Italy
Philipp Cimiano, Bielefeld University, Germany
Aurélie Clodic, LAAS-CNRS, France
Mathieu d’Aquin, LORIA, University of Lorraine, France
Amelie Gyrard, Trialog, TriaLab Innovation Lab , France
Marc Hanheide, University of Lincoln, United Kingdom
Carlos Hernández Corbato, Delft University of Technology, Netherlands
Kristian Kersting, TU Darmstadt, Germany
Uwe Köckemann, Örebro University, Sweden
Volker Krueger, LTH, Lund University, Sweden
Michaela Kümpel, Bremen University, Germany
Lars Kunze, University of Oxford, United Kingdom
Daniel Leidner, German Aerospace Center (DLR), Germany
Masoumeh Mansouri, University of Birmingham, United Kingdom
Enrico Motta, Knowledge Media Institute, United Kingdom
Daniele Nardi, Sapienza University of Rome, Italy
Alberto Olivares-Alarcos, Institut de Robòtica i Informàtica Industrial, UPC-CSIC, Spain
Andrea Orlandini, ITIA-CNR, Milan, Italy
David Paulius, Brown University, USA
Dimitris Plexousakis, Institute of Computer Science, FORTH, Greece
Simon Razniewski, Bosch Center for AI, Germany
Stefan Schlobach, Vrije Universiteit Amsterdam, Netherlands
Mohan Sridharan, University of Birmingham, United Kingdom
Jan-Philipp Töberg, Bielefeld University, Germany
Sven Wachsmuth, Bielefeld University, Germany
Venue:
The workshop will be collocated with the Extended Semantic Web Conference (ESWC) in Hersonissos, Crete, Greece, https://2024.eswc-conferences.org/
Publication:
Proceedings of the AKR3 Workshop will be published by CEUR Workshop Proceedings and by Bielefeld University Press
Contact:
All questions about submissions should be emailed to Philipp Cimiano at cimiano(at)cit-ec.uni-bielefeld.de
Sponsors:
The workshop is sponsored by the Joint Research Center on Cooperative and Cognition-enabled AI (CoAI JRC) (Co-AI), https://coai-jrc.de