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Simar Kareer

@simar_kareer

PhD at GT | Prev @physical_int @nvidia
Atlanta, GA simarkareer.com Joined January 2019
140 Following 874 Followers 80 Posts

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Simar Kareer @simar_kareer
We've wanted to study human to robot transfer at scale, but the right dataset was missing. Introducing EgoVerse!

- EgoVerse is about quantity and quality. The data is vast and directly usable
- EgoVerse is growing. We're excited to onboard labs and startups, reach out!
Danfei Xu Verified account @danfei_xu Mar 23
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 🧵
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Simar Kareer @simar_kareer
I helped build Human1M, the dataset we used to train GROOT2. 100k hours are open sourced, check it out!

huggingface.co/datasets/nvidi…
huggingface.co nvidia/PhysicalAI-Human-1M-100K · Datasets at Hugging Face Dataset with 39 rows (Image, Tabular, Text, Video). Explore, preview and download it on Hugging Face.
Jim Fan Verified account @DrJimFan 3d
Introducing GR00T 2: our most advanced, open System One model for robotics. It runs entirely on your robot’s onboard compute, fully untethered, and you own every weight of it. GR00T 2 features:

1. Long-horizon tasks: dexterous manipulation and whole-body control chained over 20+ steps and 5+ minutes, such as performing chemistry lab experiments or assembling model airplanes end to end.
2. X-Adapt: adapting from easy data sources (human wearables and simulation) and deploying zero-shot to diverse real robots.
3. Unified Cognition: native integrations with frontier agents for advanced physical reasoning, robust error recovery, and safety monitoring.

It's an open-source buffet! We are releasing not only the model weights and X-Adapt recipes (coming December), but also our agentic framework, simulation engine, annotation engine, hardware design, and even training data (100K hours, that's ~11 yrs of experience), all available today!

Everything that moves will be autonomous. Anyone can become a roboticist.

Lock in, build with us!

Deep dive in thread:
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Simar Kareer @simar_kareer
Watch 14 robots run inference all from a single cloud GPU!
Rohan Bansal ✈️ CoRL 2026 Verified account @rbansal22 Aug 2
🤖 Scaling deployment in robotics can be difficult and expensive. How can we properly serve a VLA/WAM to 10+ robots concurrently from a single GPU?

Introducing Armory, a system for serving large robot policies to a fleet of robots from the cloud/edge. Through real-time scheduling of action chunks, Armory boosts task throughput over baselines by up to 18% on heterogeneous fleets in the real world.

🧵1/6
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