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Ruihan Yang
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Ruihan Yang

@RchalYang
MTS @ Amazon Frontier AI & Robotics (FAR) PhD from @UCSanDiego Robot Learning / Embodied AI
San Diego, CA
rchalyang.github.io
Joined July 2017
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  • user avatar
    Ruihan Yang
    @RchalYang
    May 1
    👀👀👀👀
    user avatar
    Mark Gurman
    @markgurman
    May 1
    Meta Platforms Inc. has acquired Assured Robot Intelligence, a startup developing artificial intelligence models for robots, as part of a major initiative to build humanoid technology. bloomberg.com/news/articles/…
  • user avatar
    Ruihan Yang
    @RchalYang
    Apr 11
    Lately I’ve been thinking about agentic embodied AI: - how to build it - what APIs agents actually need - where roboticists should focus Sharing some very early thoughts below. Curious to hear how others are thinking about this.
    user avatar
    Yongyuan Liang
    @cheryyun_l
    Apr 11
    In our new blog (written w/ @RchalYang), we discuss where, when, and how to make vibe agents come alive in the real world. cheryyunl.github.io/blog/vibe-agen… We look at two interfaces for bringing AI agents into the physical world: code (composable, transparent, but whose reliability
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    Ruihan Yang
    @RchalYang
    Feb 16
    best humanoid agility demo like always… If you can show demo in spring festival gala with scale, I trust your robustness….
    user avatar
    Unitree
    @UnitreeRobotics
    Feb 16
    Unitree Spring Festival Gala Robots —a Full Release of Additional Details 🥳 Dozens of G1 robots achieved the world’s first fully autonomous humanoid robot cluster Kung Fu performance (with quick movement), pushing motion limits and setting multiple world firsts! H2 made striking
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  • user avatar
    Ruihan Yang
    @RchalYang
    Jan 4
    Welcome!!
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    Jitendra MALIK
    @JitendraMalikCV
    Jan 4
    1/4 For the last several years I worked part-time at the FAIR lab at Meta, in addition to being a professor at UC Berkeley. That phase is now over, and starting Jan. 5, I will be leading a robotics research effort at Amazon FAR in San Francisco, while continuing at Berkeley.
  • user avatar
    Ruihan Yang
    @RchalYang
    Dec 5, 2025
    🧐🧐🧐🧐🧐
    user avatar
    Chaoyi Pan
    @ChaoyiPan
    Dec 3, 2025
    Generative models (diffusion/flow) are taking over robotics 🤖. But do we really need to model the full action distribution to control a robot? We suspected the success of Generative Control Policies (GCPs) might be "Much Ado About Noising." We rigorously tested the myths. 🧵👇
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