Jialei Chen
Jialei Chen is Latent World Action Models for efficient dynamics-aware robot policies.. It is ranked #6311 on the AI Radar, in AI research, first seen 50 days ago and shared in 1 post (40.6k views).
LaWAM: Physical Foresight for Robots Without Future-Video Generation | Jialei Chen LaWAM: Physical Foresight for Robots Without Future-Video Generation Latent World Action Models for efficient dynamics-aware robot policies. Modern robot policies are becoming increasingly capable at understanding scenes and language instructions. That helps them infer what to do . Real manipulation, however, also depends on how to do it : Not just “fold the towel,” but where the hands should move and what state the towel should approach over the next action chunk. World-Action Models (WAMs) offer a natural way to provide this procedural signal: condition…
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Jialei Chen in numbers
- Rank on the AI Radar: #6311 of 10410
- Shared in 1 post by 1 account: @LeRobotHF
- 40.6k views on those posts
- First seen 50 days ago, last shared 50 days ago
- Pricing seen by AGK Intelligence: free
- Market: AI research
FAQ
What is Jialei Chen?
Latent World Action Models for efficient dynamics-aware robot policies. It was first shared on X 50 days ago and is ranked #6311 on the AI Radar.
Is Jialei Chen free?
Yes, it is free to use.
Who shared Jialei Chen?
1 account on X, including @LeRobotHF, in 1 post totalling 40.6k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:05 UTC. Full method.