Benjamin Shaffer — accepted AI-conference papers

2026

Multi-Robot Multi-Source Localization in Complex Flows with Physics-Preserving Environment Models

Benjamin Shaffer, Victoria Edwards, Brooks Kinch, Nathaniel Trask, M. Ani Hsieh

ICRA 2026poster

Source localization in a complex flow poses a significant challenge for multi-robot teams tasked with localizing the source of chemical leaks or tracking the dispersion of an oil spill. The flow dynamics can be time-varying and chaotic, resulting in sporadic and intermittent sensor readings, and com…

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2026

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs

Benjamin Shaffer, Shawn Koohy, Brooks Kinch, M. Ani Hsieh, Nathaniel Trask

ICML 2026poster

We aim to develop physics foundation models for science and engineering that provide real-time solutions to Partial Differential Equations (PDEs) which preserve structure and accuracy under adaptation to unseen geometries. To this end, we introduce General-Geometry Neural Whitney Forms (Geo-NeWF): a…

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