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MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction research paper by Ai2, 2026

Ai2 · Jun 17, 2026 · Multimodal and robotics · 4 citations · 53 upvotes · unverified

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What it shows

3D point motion forecasting model predicts object trajectories from visual history and language goals, demonstrating superior performance on benchmarks and transferring effectively to robot manipulation and video generation tasks.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Jianing Zhang, Chenhao Zheng, Yajun Yang and 10 more
arXiv
2606.18558 · PDF
Venue
arXiv.org
Citations
4, 2 influential · Semantic Scholar
Upvotes
53 · Hugging Face
Code
github.com/allenai/molmo-motion
Lab
Ai2 · on Companies

Changes

What changed
Influential citationsfirst count: 2Sep 25, 2026
Citationsfirst count: 4Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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