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Introduce OmniH2O, a learning-based system for whole-body humanoid teleop and autonomy: 🦾Robust loco-mani policy 🦸Universal teleop interface: VR, verbal, RGB 🧠Autonomy via ShitposterAI or imitation 🔗Release the first whole-body humanoid dataset

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Tairan He

14,641 subscribers

130,032 просмотров • 2 лет назад •via X (Twitter)

Здоровье и велнесОбразованиеНаука и технологии
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Комментарии: 11

Фото профиля Tairan He
Tairan He2 лет назад

Please checkout our website for more interesting videos! 👉 Team: @TairanHe99 @zhengyiluo @Xialin_He @_wenlixiao @ChongZitaZhang Weinan Zhang @kkitani Changliu Liu @GuanyaShi

Фото профиля Yuzhe Qin
Yuzhe Qin2 лет назад

@chatgpt4o Cool work Tairan! Excited to see more awesome work from Human2Humaniod family😃

Фото профиля Tairan He
Tairan He2 лет назад

@chatgpt4o Thank you Yuzhe! Your works inspired me a lot!!!

Фото профиля Jiafei Duan
Jiafei Duan2 лет назад

@chatgpt4o Congrats! Great stuff, definitely a good platform for more exciting works in humanoid!

Фото профиля allrobots.club
allrobots.club2 лет назад

@chatgpt4o Still slow but impressive

Фото профиля Chansoo Byeon
Chansoo Byeon2 лет назад

@chatgpt4o Noice but why does the robot walk like that?

Фото профиля Oli
Oli2 лет назад

@chatgpt4o cool idea although still a lot to optimise until the motion becomes more fluid and stable

Фото профиля Ziwen Zhuang
Ziwen Zhuang2 лет назад

@chatgpt4o Initially, I thought the robot was trying to stab itself. lol

Фото профиля Tairan He
Tairan He2 лет назад

@chatgpt4o I don’t think it has enough degrees of freedom lollll

Фото профиля Chaoyi Pan
Chaoyi Pan2 лет назад

@chatgpt4o A big step forward for H2O. Congrats Tairan!

Фото профиля Tairan He
Tairan He2 лет назад

@chatgpt4o Thank you Chaoyi!

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The new humanoid whole-body teleop & policy learning demo from Boston Dynamics & Toyota Research Institute (TRI) is so impressive. The telelop system includes BD's MPC system as controllers, VR headset, base stations, and trackers on chest & feet. The policy learning architecture is similar to TRI's LBM. Source:

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