Call for Papers
This workshop aims to bring together researchers and practitioners from different disciplines to share ideas and methods on soft robot learning. We welcome research contributions as well as best-practice contributions on (but not limited to) the following topics:
- Multimodal Embodied Navigation: visual navigation, vision-language navigation, soft robot navigation
- Multimodal Embodied Manipulation: grasping, dexterous manipulation, soft-hand manipulation, tool manipulation
- Embodied Reasoning: spatial reasoning, affordance learning, task planning
- Embodied Perception: multi-modal perception, active perception
- Embodied Simulation: 2D/3D reconstruction, sim-to-real, benchmark
- Control Methods for Soft Robots: model-based/learning-based control methods
For this workshop, we accept the following type of papers：
- 4–8 pages for the main text, plus up to 2 pages for references.
- Topics include but are not limited to original ideas, perspectives, research visions, and open challenges in the themes outlined above.
Submission Website: https://openreview.net/group?id=acmmm.org%2FACMMM%2F2025%2FWorkshop%2FRoboSoft#tab-your-consoles
Submission templates are available on the ACM MM 2025 website.
Submissions must adhere to the ACM MM 2025 submission policies.