Jordan & Ivan present world models at ICRA 2025

To the audience’s excitement, Jordan and Ivan presented the lab’s work on principles of physically interpretable work models in two capacities: 

1. As a spotlight poster at the Workshop on Foundation Models and Neuro-Symbolic AI for Robotics (FMNS)
2. As a late-breaking result poster in the main ICRA conference. 

Citation: 

• Jordan Peper*, Zhenjiang Mao*, Yuang Geng, Siyuan Pan, Ivan Ruchkin.
  Four Principles for Physically Interpretable World Models [Arxiv] [OpenReview] [Github] [Poster].
  In Proceedings of the 2nd International Conference on Neuro-symbolic Systems (NeuS), Philadelphia, PA, 2025. * Co-first authors.