Harry HE

Tech Product Marketing. Focused on EV/AD/Robotics over 7 years

[Lightwheel @LightwheelAI]

Congratulations to @nvidia on launching the SimReady Central Library — the largest open collection of simulation-ready OpenUSD assets, with 3,500+ assets now on @huggingface.

Lightwheel is the largest contributor to the library, delivering SimReady assets available at launch across industrial, residential, and hospital environments.

Our SimReady assets are also built to the highest standard of physical accuracy. Each one carries validated mass and inertia, collision geometry that matches the mesh, and articulation and joint limits that behave as the real object does. Visual fidelity is a starting point. Physical fidelity is what robots need.

We believe open, physics-accurate SimReady assets are foundational infrastructure for Physical AI. That is why Lightwheel contributed at this scale, and why we will continue to, so that more robotics teams, labs, and partners can build on them.

[nature will @naturewill]

@LightwheelAI Exploring the frontier of physical AI together with @LightwheelAI 🙌

[Reward AI @RewardAI_]

Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids.
- learned directly from human manipulation data
- no teleop/robot data
- close to human-level dexterity and efficiency
- multi-robot collab

[RoboPapers @RoboPapers]

Robotics has a data problem, and egocentric data is a compelling way to solve it because egocentric data is (1) scalable — it’s cheap to collect — and (2) easily captures the breadth and diversity of real human tasks, while (3) being true to real physics. Lightwheel recently released a hundred thousand hours of high-quality egocentric video data, spread across a wide range of human tasks from cleaning and tidying to assembly and construction to retail tasks.

Here to tell us about this tremendous effort is @bgxc, CEO and co-founder of Lightwheel. The data is also available on HuggingFace right now.

Watch Episode 102 of RoboPapers, with @micoolcho and @DJiafei, to learn more!

[Harry HE @naive_zhong]

Great work

[Lightwheel @LightwheelAI]

Scale alone doesn’t make egocentric data valuable. Diversity does.

EgoSuite-Open100K, spans 15k+ tasks and 15k+ scenes across 7 environment categories and 18 task categories.

The first 10k hours are open now, with more coming as we build toward 100K.

https://t.co/BrhwhfIakf

[Harry HE @naive_zhong]

100,000 hours of egocentric human data. 15,000+ tasks across 15,000+ real scenes, from factory floors to retail backrooms. Fully annotated, and licensed for commercial training.
Most datasets at this scale ship raw footage. This one ships labelled.
First 10,000 hours are live now

[Lightwheel @LightwheelAI]

The largest fully annotated open egocentric human dataset.

Today we're open-sourcing EgoSuite-Open100K with @huggingface : 100,000 hours of egocentric human data, free for anyone to use.

Physical AI has a scaling law of its own now, and its input is human data. That part is settled. What the field still needs is a shared foundation to build on.

15,000+ tasks. 15,000+ real scenes, from factory floors to retail backrooms. Hand pose, body pose and subtask-level semantics, with wrist camera coverage on part of the set. Licensed for commercial training, not research-only.

We build the data infrastructure for Physical AI. Open100K is the first public layer of it.

The first 10,000 hours are live now, with the rest rolling out in stages.

[Los Angeles Lakers @Lakers]

Ingram matching up with Melo

[Harry HE @naive_zhong]

@lipeng1943 原来发推更多啊