Robot learning is bottlenecked by data: adapting to new tasks, robots, and environments often requires many demonstrations.
Meet TraceGen! A motion world model that learns in a compact 3D trace space, abstracting away complex appearance.
This enables learning from diverse videos.
Meet @JayLEE_0301 at #605!
Jia-Bin Huang@jbhuang0604
VLMs are great for their semantic reasoning capabilities.
BUT, they don't have a grounded understanding of physical dynamics.
So, we equip VLMs with physical reasoning through simulation-in-the-loop world modeling.
Come talk with Haowen about SIMPACT (#611): https://simpact-bot.github.io/
6:59 AM · Jun 6, 2026 · 1K Views
