Michael Posa
@michaelposa.bsky.social
Asst. Prof. at the University of Pennsylvania, part of the GRASP Lab. PI of the Dynamic Autonomy and Intelligent Robotics Lab. https://dair.seas.upenn.edu
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.
arxiv.org/abs/2504.18719
arxiv.org/abs/2504.18719
April 29, 2025 at 3:37 PM
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.
arxiv.org/abs/2504.18719
arxiv.org/abs/2504.18719
This paper, led by Bibit Bianchini and Minghan Zhu, has been a labor of love, and we're excited to share it at @roboticsscisys.bsky.social 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.
We combine BundleSDF (Vision) with our prior work on contact-rich learning (PLL), where each component feeds back useful insights to the others.
April 29, 2025 at 3:37 PM
This paper, led by Bibit Bianchini and Minghan Zhu, has been a labor of love, and we're excited to share it at @roboticsscisys.bsky.social 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.
We combine BundleSDF (Vision) with our prior work on contact-rich learning (PLL), where each component feeds back useful insights to the others.
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 generate accurate shape reconstructions despite major visual occlusions.
vysics-vision-and-physics.github.io
vysics-vision-and-physics.github.io
April 29, 2025 at 3:37 PM
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 generate accurate shape reconstructions despite major visual occlusions.
vysics-vision-and-physics.github.io
vysics-vision-and-physics.github.io