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FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations research paper by Stanford University, 2026

Stanford University · Multimodal and robotics · Sep 17, 2026 · 0 citations · 40 upvotes · unverified

FAMOS is a feed-forward model that predicts articulated object motion from sparse point cloud observations.

By Kevin Qu, Tao Sun, Massimiliano Viola and 5 more · arXiv 2609.20817 · PDF

UnverifiedSummarised by a model from the abstract; not yet checked by hand.

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About this paper

Citations: 0, 0 influential · Semantic Scholar
Upvotes: 40 · Hugging Face
Lab: Stanford University

Changes

New summaryOct 26, 2026FAMOS is a feed-forward model that predicts articulated object motion from sparse point cloud observations.

TopicOct 26, 2026Moved from Inference and efficiency to Multimodal and robotics.

UpvotesSep 28, 2026Hugging Face upvotes rose from 38 to 40.

CitationsSep 25, 2026A first count of 0 influential citations.

CitationsSep 25, 2026A first count of 0 citations.

New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.