[CFP] RSS'25 Workshop on Large Foundation Model for Interactive Robot Learning

[Changjoo Nam]

(Apologies for cross-posting)

[Deadline extended to May 31 — after your ICRA trip!]

Dear AI and Robotics Community, 

We're excited to announce our RSS 2025 Workshop: Large Foundation Model for Interactive Robot Learning, taking place June 25 in Los Angeles (LA)! Join us for cutting-edge talks, panels, and discussions on LLMs, robotics, and multimodal AI. 

Please see details in workshop official website: https://lfmrss2025.weebly.com (also in https://roboticsconference.org/program/workshops/)

Description 

Large foundation models (LFMs), spanning language, vision, and multimodal systems, are revolutionizing interactive robot learning. These models enable robots to learn from human interactions, environments, and other robots, advancing capabilities such as path planning, grasping, walking, swarm coordination, and manipulation. LFMs hold the potential to enhance robot autonomy in dynamic and unstructured environments, making significant strides in applications such as autonomous vehicles, AI-driven manufacturing, healthcare robotics, and advanced air mobility. This workshop will focus on cutting-edge research that explores the integration of LFMs into robotic systems, addressing both their potential and the challenges they pose. 

Topics

- Enhancing robot learning from multimodal data using LFMs

- LFM applications in path planning, manipulation, and swarm robotics

- LFM for Multi-robot coordination and advanced teaming strategies

- LFM used in real-world applications (self-driving, manufacturing, and healthcare)

- Integration of LFMs with robotic hardware for perception and control

- Ethical and safety concerns in deploying LFMs in critical environments.

Important Dates 

​Submission Due: May 18, 2025May 31, 2025

Notification Date: May 25, 2025Jun 4, 2025

Submission Contents and Format 

This workshop welcomes all the research reports on the latest preliminary results, recently-submitted drafts, and recently-published work. The page limit is two pages including reference. The format will be the standard IEEE conference format. The review will be conducted by the organization committee as well as some domain scholars. 

All submissions, please email a draft to: lfmorg...@gmail.com, with the email subject “Submission for RSS workshop". After the committee review, authors will be notified before the notification date. 

Thanks!

On behalf of the Organizing Committee: Rui Liu, Wenhao Luo, Jiaoyang Li, Changjoo Nam, Carlo Pinciroll, Xiaoli Zhang, Anqi Li