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

Ai2 · Multimodal and robotics · Jun 17, 2026 · 16 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.

By Jianing Zhang, Chenhao Zheng, Yajun Yang and 10 more · arXiv 2606.18558 · PDF · Code

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

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Other multimodal and robotics papers

Topic
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About this paper
Venue
arXiv.org
Citations
16, 7 influential · Semantic Scholar
Upvotes
53 · Hugging Face
Lab
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Changes

CitationsNov 9, 2026Influential citations rose from 5 to 7.
CitationsNov 9, 2026Citations rose from 14 to 16.
CitationsNov 2, 2026Influential citations rose from 4 to 5.
CitationsNov 2, 2026Citations rose from 10 to 14.
CitationsOct 12, 2026Influential citations rose from 3 to 4.
CitationsOct 12, 2026Citations rose from 6 to 10.
CitationsOct 5, 2026Influential citations rose from 2 to 3.
CitationsOct 5, 2026Citations rose from 4 to 6.
CitationsSep 25, 2026A first count of 2 influential citations.
CitationsSep 25, 2026A first count of 4 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.