Ivan went all the way to Hangzhou, China, to present several research works on world models, image repair, and data cleaning.
- An invited talk “๐๐๐ฅ๐ข๐๐๐ฅ๐ ๐๐จ๐ซ๐ฅ๐ ๐๐จ๐๐๐ฅ๐ฌ: ๐๐ก๐ฒ๐ฌ๐ข๐๐๐ฅ ๐๐ซ๐จ๐ฎ๐ง๐๐ข๐ง๐ ๐๐ง๐ ๐๐๐๐๐ญ๐ฒ ๐๐ซ๐๐๐ข๐๐ญ๐ข๐จ๐ง” at the Building Safe Robots: A Holistic Integrated View on Safety from Modelling, Control & Implementation Workshop (sponsored by NOKOV Motion Capture)
– Featuring the work by Zhenjiang Mao, Mrinall Umasudhan, and Jordan Peper - A paper presentation “๐๐๐ง๐๐ซ๐๐ฅ๐ข๐ณ๐๐๐ฅ๐ ๐๐ฆ๐๐ ๐ ๐๐๐ฉ๐๐ข๐ซ ๐๐จ๐ซ ๐๐จ๐๐ฎ๐ฌ๐ญ ๐๐ข๐ฌ๐ฎ๐๐ฅ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ”
– Featuring the work of Carson Sobolewski, Zhenjiang Mao, and Kshitij Maruti Vejre - A paper presentation “๐๐ง๐ฌ๐ฎ๐ฉ๐๐ซ๐ฏ๐ข๐ฌ๐๐ ๐๐ง๐จ๐ฆ๐๐ฅ๐ฒ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐๐ฆ๐ฉ๐ซ๐จ๐ฏ๐๐ฌ ๐๐ฆ๐ข๐ญ๐๐ญ๐ข๐จ๐ง ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ซ ๐๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ ๐๐๐๐ข๐ง๐ ”
Featuring the work of Yuang Geng, Yang Zhou, Yuyang Zhang, Zhongzheng Zhang, Kang Yang, Tyler Ruble, and Giancarlo Vidal
Here are the paper citations on which these presentations were based:
- Carson Sobolewski, Zhenjiang Mao, Kshitij Vejre, Ivan Ruchkin.
Generalizable Image Repair for Robust Visual Autonomous Racing [Arxiv] [Poster 1] [Poster 2] [Github] [Video] [Slides].
In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025. - Yuang Geng, Yang Zhou, Yuyang Zhang, Zhongzheng Ren Zhang, Kang Yang, Tyler Ruble, Giancarlo Vidal, and Ivan Ruchkin.
Unsupervised Anomaly Detection Improves Imitation Learning for Autonomous Racing [Poster] [Video] [Slides].
In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2025. - Zhenjiang Mao, Mrinall Eashaan Umasudhan, Ivan Ruchkin.
How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy [Arxiv] [Github].
In submission to the International Journal of Robotics Research (IJRR), 2025. - Zhenjiang Mao, Ivan Ruchkin.
Towards Physically Interpretable World Models: Meaningful Weakly Supervised Representations for Visual Trajectory Prediction [Arxiv] [Poster].
Preprint, 2025.ย - 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.