Call for Papers

The main objective of this workshop is to provide the robotics research community with a comprehensive and up-to-date overview of methods for robotic manipulation and grasping across the spectrum of model-based and learning-based approaches.

We solicit the submission of short papers covering recent work, early results, or ongoing work on the workshop's themes.

Research topics include, but are not limited to:

• Model-based Methods for Manipulation and Grasping

• Adaptive Control for Manipulation and Grasping

• Model Learning

• (Deep) Reinforcement Learning

• Imitation Learning

• In-hand Manipulation

• Model Predictive Control for Manipulation and Grasping

• Learning Manipulation and Grasping on Robot Constraint Manifolds

• Structured Learning for Robotics

• Vision-based Learning for Grasping and Manipulation

• Multimodal learning for Grasping and Manipulation

• Learning-based and Model-based methods for prosthetic robotic grasping and manipulation

• Synergy based grasp planning

• Human-inspired grasp planning

Important Dates

All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth").

• Submissions open: June 19th, 2023

• Submission deadline: July 17th August 18th, 2023

• Notification of publication decision: September 10th, 2023

• Final version due: September 22nd, 2023

• Workshop: October 5th, 2023 (full day)

Paper Awards

The Program Committee and Organizers will select one (at least) of the accepted contributions for a best paper award.

Submission Instructions

Submissions on CMT are open: https://cmt3.research.microsoft.com/IROSwkshpL4MG2023/Submission/Index

Short paper submission format:

• Maximum 4 pages, including references

• Template: IEEE conference, 2-columns (same as IROS full papers): http://ras.papercept.net/conferences/support/tex.php

• Short papers will be peer-reviewed in single-blind mode

Accepted papers will be presented in-person during an interactive poster session. At least one of the authors needs to be present at the venue for each poster. Accepted papers will not be included in any proceedings. Authors can opt-in to make accepted papers downloadable from the workshop website after IROS.

Recent work currently submitted to or accepted at other conferences and/or journals is eligible for presentation at this workshop, since there are no workshop proceedings.

One optional supplementary video is allowed:

• • Maximum 50MB

  • Maximum 3-minutes duration

  • Only MP4 video format is allowed

  • The video must be compressed and uploaded within a ZIP file ("supplementary_video.zip")

  • Please note: supplementary files can be uploaded from the CMT Author Console only after the main manuscript has been uploaded

For any inquiries or technical assistance, please contact the organizers via the form available at: https://sites.google.com/view/learning-meets-models-iros2023/contacts