Aniketh Cheluva

@GeorgiaTech

[Josh @joshavata]

Today @MeckaAI is announcing $60M in funding to become the data and deployment layer for physical AI

This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world

[Abdur-Rahman Rana @durrana16]

The future of content creation is just a few words away. Join the waitlist https://t.co/lgq6jRZLsr

[Aniketh Cheluva @anikethcheluva]

Our latest project ‼️

[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]

@physical_int pi0.5 + 120 robot demos keeps going on and on and on and on 🤩

[Aniketh Cheluva @anikethcheluva]

@ryan_punamiya @physical_int We are locked in

[Aniketh Cheluva @anikethcheluva]

@AbhinavMar9985 @GeorgiaTech looks sick

[Aniketh Cheluva @anikethcheluva]

🚀 Something new is in motion.
We’re building a platform that makes robotics as simple as drag-and-drop.
From kitchens to warehouses, we’re helping businesses integrate automation without the complexity.

Website coming soon 👀

#RaaS #Automation @startupxchange

[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!🧵

[Aniketh Cheluva @anikethcheluva]

@DaffaReinaro @startupxchange Cant wait to see it

[Aniketh Cheluva @anikethcheluva]

@startupxchange

[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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