Explainable Robotics

Full-day workshop at ICRA 2023

29th May 2023


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 Both unpublished original contributions and previously published work may be submitted.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.

  • Ana Paiva

    Ana Paiva

    INESC-ID and Instituto Superior Técnico, Portugal (tentative)

  • Anca Dragan

    Anca Dragan

    University of California, Berkeley, USA (tentative)

  • Bradley Hayes

    Bradley Hayes

    Colorado State University, USA

  • Karinne Ramirez Amaro

    Karinne Ramirez Amaro

    Chalmers University of Technology, Sweden

  • Lars Kunze

    Lars Kunze

    University of Oxford, UK

  • Seongun Kim

    Seongun Kim

    Korea Advanced Institute of Science and Technology, South Korea

  • Silvia Rossi

    Silvia Rossi

    Università degli Studi di Napoli Federico II, Italy

  • Subramanian Ramamoorthy

    Subramanian Ramamoorthy

    University of Edinburgh, UK

  • Tathagata Chakraborti

    Tathagata Chakraborti

    IBM Research AI, USA


  • Senka Krivic (Corresponding organizer)

    Senka Krivic (Corresponding organizer) www

    University of Sarajevo, Bosnia and Herzegovina

  • Gerard Canal

    Gerard Canal www

    King's College London, UK

  • Martim Brandao

    Martim Brandao www

    King's College London, UK

  • Anais Garrell

    Anais Garrell www

    CSIC-UPC, Spain

  • Matthew Gombolay

    Matthew Gombolay www

    Georgia Institute of Technology, US

  • Jean Oh www

    Carnegie Mellon University, US

  • Rohan Paleja

    Rohan Paleja www

    Georgia Institute of Technology, US

  • Silvia Tulli

    Silvia Tulli www

    Instituto Superior Técnico, Portugal; Sorbonne University, France

  • Miguel Faria

    Miguel Faria www

    GAIPS@INESC-ID and Instituto Superior Técnico, Portugal

  • Tanmay Shankar www

    Carnegie Mellon University, US


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