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Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations.... show more
60,070 просмотров • 10 месяцев назад •via X (Twitter)
Комментарии: 15

Happy to see our work getting recognition 🙌🏻

@AIM_Intel You rock 🎸

This is awesome! The product applications for remote operation are huge if this is fast enough. Is the inference time low enough to use this for real-time teleoperation, or is it strictly for offline training?

Does this mean the Best Fails of 2025 Try Not To Laugh Challenge YouTube compilations are now technically a high-value training dataset? Finally, people tripping on camera is critical safety data for AGI. What a time to be alive!

Wait so I can take clips of messi dribbling and make a robot dribble like him?

how much is this demo hardcoded? 🙃

Dope 🔥

@BrianRoemmele

the robot on camera is not the robot in the loss. if limits/inertias are soft, you trained a fiction.

Video-based motion capture achieved 78% accuracy in replicating human movements for robots.

Oh that is sick. Congrats to the developers!

Umm, literally playing a free to play video game from China that does this for custom emote creation.....Pretty sure this isnt new or industry changing.

So sick Lukas

This is cracked and im here for it

This is how we scale robot learning! So cool.
