Scope
There is a growing interest in the research and development of AI algorithms capable of generating explanations for their output. Explanations could play an essential role in robot systems to improve predictability, user-friendliness, debugging effectiveness, and overall transparency and trustworthiness of robots. This workshop aims to put forth a diversity of viewpoints from experts in robotics, from AI and technical to social perspectives. The workshop will provide a venue for robotics and AI researchers, philosophers, psychologists, and social scientists to exchange research, ideas, and opinions on the use of explanations in robotics, from methods and requirements to metrics, interaction, and qualitative findings. In this workshop, we aim to bring together researchers to explore 1) how HRI researchers seek to design human-interpretable or legible robot behaviors, 2) how xAI researchers have applied their techniques to robotics, 3) how robotics researchers generate explanations that allow robots to operate at different levels of autonomy, and 4) how roboticists have needed to augment or develop their own xAI techniques especially suited for robotics (xAI for "agents" may not be good for "robots”).
Call For Papers
We welcome the submission of short papers and demo papers related to the workshop's topics of interest. These papers will be used to initiate discussion on the topics during the workshop, and will be presented as posters and presentations. Accepted papers will be published on the Workshop website with authors' permission.
Topics of interest
- Explainable AI algorithms for robotics
- Explainable decision making
- Explainable motion planning
- User studies for evaluation of explanations
- Transparency and explainability in AI
- Benchmarks and use cases for robotic explainability
Important Dates
- Paper submission deadline: 20th March 2023
- Author notification: 10th April 2023
- Camera-ready submission: TBC
Submission instructions
Authors can submit demo papers of 2 pages accompanied with videos, short papers of 4 pages, or full papers of 6 pages. All papers must be submitted in PDF and must follow the ICRA double-column format. Templates are available here. All papers will be peer-reviewed (single-blind). Both unpublished original contributions and previously published work may be submitted.
All submissions will be made electronically through the Openreview conference system on this submission link.
Presence at the workshop is required.
Invited speakers
All times are London (UK) time.
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Ana Paiva
INESC-ID and Instituto Superior Técnico, Portugal (tentative)
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Anca Dragan
University of California, Berkeley, USA (tentative)
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Bradley Hayes
Colorado State University, USA
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Karinne Ramirez Amaro
Chalmers University of Technology, Sweden
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Lars Kunze
University of Oxford, UK
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Seongun Kim
Korea Advanced Institute of Science and Technology, South Korea
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Silvia Rossi
Università degli Studi di Napoli Federico II, Italy
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Subramanian Ramamoorthy
University of Edinburgh, UK
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Tathagata Chakraborti
IBM Research AI, USA
Organizers
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Senka Krivic (Corresponding organizer) www
University of Sarajevo, Bosnia and Herzegovina
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Gerard Canal www
King's College London, UK
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Martim Brandao www
King's College London, UK
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Anais Garrell www
CSIC-UPC, Spain
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Matthew Gombolay www
Georgia Institute of Technology, US
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Jean Oh www
Carnegie Mellon University, US
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Rohan Paleja www
Georgia Institute of Technology, US
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Silvia Tulli www
Instituto Superior Técnico, Portugal; Sorbonne University, France
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Miguel Faria www
GAIPS@INESC-ID and Instituto Superior Técnico, Portugal
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Tanmay Shankar www
Carnegie Mellon University, US
Support
This workshop is supported by:
IEEE Technical Committee on Cognitive Robotics
IEEE Technical Committee on Robot Learning
IEEE Technical Committee for on Human-Robot, Interaction & Coordination