We cordially invite researchers to submit contributions in the form or short papers or extended abstracts. We accept original papers, as well as in-review or accepted manuscripts. Submitted contributions can describe work in progress, preliminary results, novel concepts, or emerging technologies in the industry.
Although there is no strict page limit, a length of 4–8 pages (excluding references and supplementary material) is recommended. We encourage authors to submit a video for their manuscript as supplementary material. All video submissions must have the mp4 format with a size less than 100 MB.
The review process is single-blind. All original submissions will be reviewed by the workshop organizers and selected their originality, relevance to the workshop topics, contributions, technical clarity, and presentation. All accepted manuscripts will be presented as posters during the workshop. Two top contributions will be selected for 5-minute oral presentations at spotlight session. Accepted posters and videos will be posted on the workshop website.
You can contact the corresponding organizer, Ekta Samani, with any questions at esamani@andrew.cmu.edu
Visual learning of physical laws for manipulation
Generation of physics-compliant synthetic 3D datasets
Integration of physical priors in learned behaviors
Embodied prompt engineering and in-context control of foundation models
Explainability and transparency in manipulation reasoning
Simulation-based reasoning and sim-to-real transfer techniques
Leveraging knowledge from LLMs for human-like manipulation strategies
Please submit your papers through this link.