Ivan visited Ufuk Topcu, the Center for Autonomy, and the Oden Institute at UT Austin with a talk about physically interpretable world models. The discussions included whether anyone has mounted a camera on an inverted pendulum and whether robotics is all about “getting it to work”.
The following papers were featured in the talk:
- Jordan Peper*, Zhenjiang Mao*, Yuang Geng, Siyuan Pan, Ivan Ruchkin.
Four Principles for Physically Interpretable World Models [Arxiv] [OpenReview] [Github] [Poster] [Slides].
In Proceedings of the 2nd International Conference on Neuro-symbolic Systems (NeuS), Philadelphia, PA, 2025. * Co-first authors. - Zhenjiang Mao, Mrinall Eashaan Umasudhan, Ivan Ruchkin.
Physically Interpretable World Models via Weakly Supervised Representation Learning [Arxiv] [IEEE] [Slides] [Poster] [Demo] [Github].
In Proceedings of the 17th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Saint Malo, France, 2026. - Yuang Geng, Zhongzheng Zhang, Chengzhen Jiang, Yanru Li, Xinyang Wang, Zhuoyang Zhou, Hoang-Dung Tran, Ivan Ruchkin.
Deterministic World Models for Verification of Closed-loop Vision-based Systems [Arxiv] [Github].
Preprint, 2026.