We invite submissions of short papers (four pages) related to the topics of the workshop. Submitted works can include new ideas, works in progress, or preliminary results. We also accept submissions based on prior publications, however the submission should be sufficiently distinct from an existing archival publication or paper under review.
Submitted papers will receive detailed reviews. Submissions will be selected by workshop organizers based on the reviews, relevance to the topics of interest, and presentation. Accepted contributions will be presented as posters during the workshop, and made available publicly 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 conferences. Selected papers will be presented as brief spotlight talks.
Topics of Interest
We welcome submissions related to work on the following topics:
- Probabilistic robotics and robot learning
- Uncertainty in robot learning
- Differentiable Bayesian algorithms
- Learned priors and likelihoods in Bayesian frameworks
- Amortized approximate inference in robotics
- Bayesian reinforcement learning
- Data driven probabilistic inference with applications in:
- Robot perception
- Planning & control
- Simultaneous localization & mapping
- System identification
Submission website: Submissions can be made on OpenReview: https://openreview.net/group?id=IEEE.org/2023/IROS/Workshop/DiffPropRob
Short papers should be a maximum of 4 pages, excluding references (4+N). Papers should be submitted electronically as a PDF via OpenReview (linked above). The review process will be single-blind and reviews posted to OpenReview will be private by default. Submissions should match the IROS conference format. Templates are available for LaTeX and Microsoft Word.
All deadlines are 11:59PM Anywhere on Earth (GMT-12).
August 25, 2023 August 30, 2023
Author Notifications: Monday, September 11, 2023
Camera Ready Submission: Sunday, September 24, 2023
Workshop: Sunday, October 1, 2023