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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

Tairan He

14,641 subscribers

130,032 次观看 • 2 年前 •via X (Twitter)

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11 条评论

Tairan He 的头像

Tairan He2 年前

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

Yuzhe Qin 的头像

Yuzhe Qin2 年前

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

Tairan He 的头像

Tairan He2 年前

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

Jiafei Duan 的头像

Jiafei Duan2 年前

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

allrobots.club 的头像

allrobots.club2 年前

@chatgpt4o Still slow but impressive

Chansoo Byeon 的头像

Chansoo Byeon2 年前

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

Oli 的头像

Oli2 年前

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

Ziwen Zhuang 的头像

Ziwen Zhuang2 年前

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

Tairan He 的头像

Tairan He2 年前

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

Chaoyi Pan 的头像

Chaoyi Pan2 年前

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

Tairan He 的头像

Tairan He2 年前

@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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