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Vision and contact dynamics are both heavily influenced by geometry, so why do we treat them as separate problems? By combining vision with physics, "Vysics," each informs the other and we can generate accurate shape reconstructions despite major visual occlusions.
18,704 views • 1 year ago •via X (Twitter)
3 Comments

Michael Posa1 year ago
We're excited to share the paper, led by Bibit Bianchini and Minghan Zhu, @RoboticsSciSys RSS 2025 We combine BundleSDF (Vision) with our prior work on contact-rich learning (PLL), where each component feeds back useful insights to the others.

Michael Posa1 year ago
With only a few seconds of data, the resulting geometry and dynamics predictions are more accurate that vision-only methods, including deep shape reconstruction. Videos on the website, and details in the paper.

Omar وديع1 year ago
Combining vision and physics is remarkable! Vysics is set to redefine shape reconstruction. Such synergy promises exciting advances in tackling occlusions. 🎥🤖
