Large pre-trained models have accelerated progress in many domains of machine learning research, such as text generation, chatbots, and image generation. In the 6th iteration of the Robot Learning workshop at NeurIPS, we will create a space for researchers from diverse backgrounds to gather and discuss the opportunities, challenges, and risks associated with large models in robotics research. Robotics is one of the most exciting and diverse applications for machine learning. It is both a hard challenge and a fruitful source of problems for machine learning approaches and our workshop is a space for members of both communities to meet.

The topic is chosen purposefully to be broad in terms of modalities and data sources as we are interested in different ideas of how pre-training can be applied to robotics. The combination of pre-trained models for vision and language for example has recently led to rapid progress in robotic tasks such as high-level planning or scene understanding. While pre-training on large-scale datasets usually comes with the benefit of generalization capabilities, it poses novel challenges that need to be addressed. The pre-training dataset can come from a wide range of sources with different perception systems in a range of environments. Therefore fine-tuning is an essential step in order to use large-scale models for a specific task. How to efficiently perform this fine-tuning, typically with limited hardware, while also ensuring a safe deployment remains an open research question.

Invited Speakers


Contributed talks and posters, invited talks, and a debate.

08:15 - 08:20 Opening Remarks
08:20 - 08:45 Key Note: Masha Itkina
08:45 - 09:10 Key Note: Jesse Thomason
09:10 - 09:35 Key Note: Dhruv Batra and Arjun Majumdar
09:35 - 10:00 Key Note: Deepak Pathak
10:00 - 11:00 Poster Session 1 and Demos
10:00 - 10:30 In Parallel: Coffee Break
11:00 - 11:40 Oral Spotlights (5x6min + 10min Q&A at the end)
11:40 - 12:10 Panel: How much are physical robots still needed in current robot learning research?
12:10 - 13:30 Lunch Break
13:30 - 13:55 Key Note: Suraj Nair
13:55 - 14:20 Key Note: Matt Barnes
14:20 - 14:45 Key Note: Keerthana Gopalakrishnan and Montserrat González Arenas
14:45 - 16:15 Poster Session 2 and Demos
15:00 - 15:30 In Parallel: Coffee Break
16:15 - 17:15 Debate Session: Scaling models and data size is sufficient for deploying robots in the real world
17:15 - 17:30 Best Paper Awards and Closing Remarks

Live Demos

Accepted Papers


Advisory Board

Important dates

Call for Papers

The workshop aims to highlight both favorable and critical voices with regard to the emerging trend of large scale pre-training to encourage a lively debate and meaningful exchange among the presenters and attendees. We encourage the submissions of original research as workshop papers as well as the submission of videos of robot demonstrations which could be shown live during the workshop.

Specific areas of interest include, but are not limited to:

Call for Demos

We encourage the submission of demos of robotics setups in our workshop. All submitted demos must include a live component, either via bringing the system to the physical conference, or by setting up a livestream to a lab environment. In the latter case, we would like to encourage that the demonstration be interactive, i.e. by allowing audience submitted tasks. The demonstrations will be held during the poster session.

Please submit demo proposals by filling out the form here.

Submission Instructions

Submissions should use the NeurIPS Workshop template available here and be 4 pages (plus as many pages as necessary for references). The reviewing process will be double blind, so please submit as anonymous by using ‘\usepackage{neurips_wrl2023}’ in your main tex file.

Accepted papers and eventual supplementary material will be made available on the workshop website. However, this does not constitute an archival publication and no formal workshop proceedings will be made available, meaning contributors are free to publish their work in archival journals or conference.

Submissions can be made at openreview.


  1. Can supplementary material be added beyond the 4-page limit and are there any restrictions on it?

    Yes, you may include additional supplementary material, but we ask that it be limited to a reasonable amount (max 10 pages in addition to the main submission) and that it follow the same NeurIPS format as the paper. References do not count towards the limit of 4 pages.

  2. Can a submission to this workshop be submitted to another NeurIPS workshop in parallel?

    We discourage this, as it leads to more work for reviewers across multiple workshops and it will be hard to attend workshops in parallel. Our suggestion is to pick one workshop to submit to.

  3. Can a paper be submitted to the workshop that has already appeared at a previous conference with published proceedings?

    We will not be accepting such submissions unless they have been adapted to contain significantly new results (where novelty is one of the qualities reviewers will be asked to evaluate). However, we will accept submissions that are under review at the time of submission to our workshop. For instance, papers that have been submitted to the International Conference on Robotics and Automation (ICRA) 2024 or the International Conference on Learning Representations (ICLR) 2024 can be submitted to our workshop.

  4. Do demos also have to have a paper?

    We encourage authors to submit papers with their demos if there is valuable scientific content for the workshop audience, but we do not require it. The acceptance of the demonstration will be decided independent of any submitted paper and you may submit a demo proposal that builds on published work from this year.


For any further questions, you can contact us at neuripswrl2023@robot-learning.ml


We are very thankful to our corporate sponsors for enabling us to provide best paper awards and student registration fees.

If you would like to sponsor the workshop, please contact neuripswrl2023@robot-learning.ml.

Financial Support

We have funding from our sponsors for financial aid of authors or attendees from under-represented groups.

Application form for financial aid to attend the conference (deadline: Nov 22nd): Click Here!