Elmo Aphiwetsa

[Danfei Xu @danfei_xu]

Introducing EgoVerse: an ecosystem for robot learning from egocentric human data.

Built and tested by 4 research labs + 3 industry partners, EgoVerse enables both science and scaling

1300+ hrs, 240 scenes, 2000+ tasks, and growing

Dataset design, findings, and ecosystem 🧵

[Ryan Punamiya @ryan_punamiya]

EgoBridge will be featured at NeurIPS on Wednesday Dec 3 at Exhibit Hall C,D,E #2211
at 4:30 p.m. PST — 7:30 p.m. PST! Come check it out!

[Ryan Punamiya @ryan_punamiya]

Robots struggle to learn new skills from human videos.

Why? We found that naive co-training produces disjoint distributions.

Our EgoBridge (NeurIPS’25) extends Optimal Transport to align human-robot latents, improving success by 44% and generalization to human-only tasks!🧵

[Lawrence Yunzhou Zhu @LawrenceZhu22]

Can we scale up mobile manipulation with egocentric human data?

Meet EMMA: Egocentric Mobile MAnipulation

EMMA learns from human mobile manipulation + static robot data — no mobile teleop needed!

EMMA generalizes to new scenes and scales strongly with added human data.

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