(contributions)=
# Call for Contributions

## Important dates

- **Submission dealine: Tuesday, September 23, 2025**;
- Notification of acceptance: Tuesday, September 30, 2025;
- Early bird registration to the conference: Friday, October 3, 2025;
- Workshop date: Friday, October 17, 2025;


## Submission Format

Submitted papers must adhere to the [I-RIM 3D conference contribution guidelines](https://i-rim.it/it/contributi/), detailed in [this document](https://i-rim.it/wp-content/uploads/2025/06/Call-for-extended-asbtracts-I-RIM-3D-2025.pdf). 

Authors are strongly encouraged to include an accompanying video that showcases the robotic application discussed in the manuscript.

### How to submit

The abstract submission is handled by the EasyChair platform of the conference, and can be accessed at the following link: [https://easychair.org/cfp/irim3d_2025](https://easychair.org/cfp/irim3d_2025).

While completing the submission form, you can specify in the _Type of submission_ field to send the article to the workshop _Industry 5.0: Workplace Transformation with Next Generation Smart Robots_. 
Observe that it is **not required to create double submission to the main conference**, as all accepted article of the workshop will be included in the I-RIM 3D proceedings, which are open access.

**Note:** By submitting your paper, you agree—on behalf of all authors—to have the paper and any additional material published on the workshop webpage in open access format.


### Review

All submissions will undergo a peer-review process (single-blind) for relevance to the workshop themes and overall quality.
Accepted extended abstract and additional material will be published in this website, and are eligible for a **poster presentation** in the session following the keynote talks.
Based on the judgment of the review committee, **3 best paper abstracts** will be selected for a **5 minute oral presentation** each.



### Topic of interests

This workshop is interested in covering and addressing all topics related to Industry 5.0, including (but not limited to):

- flexible manufacturing systems;
- digital twin for manufacturing
- robotics and AI for automation;
- human-centered manufacturing;
- collaborative robot for manufacturing;
- machine learning for manufacturing;
- safe manufacturing;
- automated manufacturing processing;
- metrology and data analysis;
- human-machine interaction;
- intelligent task and motion planning;
- shared autonomy and adaptive control;
- reinforcement learning and large behavioral model for the industry;