The fifth iteration of the Conference on Robot Learning will be held in hybrid mode in November this year in London, the UK, but with virtual access for remote attendees.

This year, we are soliciting two types of submissions: contributed papers, and blue-sky positional papers. All submissions will be evaluated according to their technical novelty, quality, potential impact, and clarity at the intersection at robotics and machine learning.

Submissions in the contributed paper category will need to demonstrate the relevance of proposed models, algorithms, data sets, and benchmarks to robotics. The authors are encouraged to report real-robot experiments or provide evidence of transfer to real robots for simulation experiments. The authors are also encouraged to submit code as supplementary materials.

The blue-sky papers should propose visionary ideas, paradigm shifts, thought provoking ideas, or novel point of view to either methods or problem domains at the intersection of robotics and machine learning.

All accepted submissions will be published in the JMLR Workshop & Conference Proceedings series. The accepted blue sky contributions will be presented at a blue-sky oral session, while the contributed papers will be presented either as posters, spotlights or long talks in the plenary session.

Use of OpenReview:

This year, to encourage high quality reviews and interaction between the authors and reviewers, CoRL will be using OpenReview. The anonymized submissions, reviews and rebuttals will be public throughout the submission process. The authors will have an opportunity to update the submissions during the rebuttal period. The accepted papers will be de-anonymized and remain public, while the rejected submissions will be made private.

Considerations for CoRL2021 and the Pandemic:

The CoRL 2021 organising committee and board acknowledge the challenges in producing high-quality experimental results during the social distance policies implemented in different parts of the world. Like last year, at CoRL2020, authors affected by these policies are encouraged to submit a one-page supplemental material explaining the rationale why the evaluation methodology is sufficient, how it is deficient compared to the real-world experiments, and how their method will be experimentally validated with real data.

Key Deadlines:

The paper submission deadline is June 18^th, 23:59 Pacific Daylight Time (UTC-7)

For more information, please refer to the call for papers: https://www.robot-learning.org/author-information/call-for-papers

Best regards,

The 2021 CoRL Organizing Committee (https://www.robot-learning.org/committees)