Workshop Theme

The year 2024 has seen an explosion of interest in humanoid robots. However, recent systems for drone racing, playing table tennis, and others clearly demonstrate that the humanoid form-factor isn’t a requirement for human-level performance. In the 7th Robot Learning workshop, to be held at ICLR 2025, we will look beyond the humanoid embodiment and ask: how far are we from robots with human-level abilities? What do we need to improve about embodied learning, decision-making, perception, and data collection to train generally physically capable robots to robustly perform a wide range of activities such as cooking or tidying up a house – activities that people do without much thinking?

We believe many of the weaknesses of the current robotic systems to be a reflection of the shortcomings of general AI methods and models. As such, we seek diverse perspectives on the workshop theme from robotics-focused and robotics-orthogonal parts of the ICLR community alike, scientific contributions from academia and industry, as well as participants from a variety of backgrounds and career stages.

Invited Speakers and Panelists

Call for Papers

Key details

We welcome submissions of original research papers as well as systems papers accompanied by videos (see the submission format below) focusing on algorithmic innovations, theoretical advancements, system design, or practical applications relevant to the workshop theme.

Specific areas of interest include but are not limited to:

Submission format and review process

We welcome submissions in three formats:

  1. Full Papers
    • Recommended length: 4–10 pages (no strict upper limit) using the ICLR-2025 template.
    • Expected to meet standards typical of workshop papers, including technical depth and novelty.
  2. Tiny Papers
    • Adhering to the format described in the ICLR Call for Tiny Papers, focusing on concise and impactful ideas.
    • Should align closely with the workshop theme, offering preliminary insights or novel perspectives.
  3. Systems Papers
    • Recommended length: 4–10 pages (no strict upper limit) using the ICLR-2025 template.
    • Expected to be about a system, at least one of whose key components critically relies on AI/ML.
    • Must be submitted with a supplementary video showing the system operation.
    • All accepted systems papers will be guaranteed an oral spotlight presentation.

All submissions will undergo a double-blind peer-review process. We will evaluate them on both technical merit and clarity of connection to the workshop theme. Accepted submissions will be non-archival, though Tiny Papers will be subject to the non-workshop-specific rules in the ICLR Call for Tiny Papers.

Important dates

Contacts

For any further questions, you can contact us at iclr2025@robot-learning.ml

Schedule

TBD

Accepted Papers

TBD

Organizers

Advisors

Sponsors

If you would like to sponsor the workshop, please contact iclr2025@robot-learning.ml.

Financial Support

TBD