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Config
25 posts
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Config
@config_inc
Data infrastructure & foundation models for bimanual robotics. Enabling robots to adapt to new tasks and deploy within days.
San Jose, CA
config.inc
Joined February 2026
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  • Config reposted
    user avatar
    Vai Viswanathan
    @vai_viswanathan
    Jul 5
    new submission to datasets .bot: HABIT 🤖🤝👨🏼‍🦰 in the future, robots will work alongside humans. HABIT is the first dataset with explicit human-robot collaboration. Why it matters: The lesson is about data, not models. Mid-training on HABIT then fine-tuning beats training from
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    Jaehwi Song
    @j__aehwi
    Jul 1
    Introducing HABIT — a large-scale robot manipulation dataset for human-present environments, where a person shares the workspace and interacts with the robot in every episode. 60 tasks · 10,563 episodes · 164 hours of rich human-robot interaction. Toward robots that are not
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  • Config reposted
    user avatar
    byeongguk jeon
    @bkjeon1211
    Jul 2
    Excited to share RoboWorld 🤖 We roll out generalist robot policies from 4,186 real initial scenes, entirely inside a video world model with no robots, and the rankings hit Pearson r = 0.989 (Spearman ρ = 0.970) with the real RoboArena leaderboard. 🧵 [1/7]
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  • Config reposted
    user avatar
    Jaehwi Song
    @j__aehwi
    Jul 1
    Introducing HABIT — a large-scale robot manipulation dataset for human-present environments, where a person shares the workspace and interacts with the robot in every episode. 60 tasks · 10,563 episodes · 164 hours of rich human-robot interaction. Toward robots that are not
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  • user avatar
    Config
    @config_inc
    Jun 2
    If you are interested in improving VLM backbones for VLAs, reach out to @Suchaeck and @Jay019374 ! #CVPR2026
    user avatar
    Suchae Jeong
    @Suchaeck
    Jun 2
    🚀 Our paper "Learning Multi-View Spatial Reasoning from Cross-View Relations (XVR)" has been accepted to #CVPR2026! Current VLMs can reason from a single view surprisingly well, but they still struggle to connect information across multiple viewpoints. To address this, we
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  • Config reposted
    user avatar
    Suchae Jeong
    @Suchaeck
    Jun 2
    🚀 Our paper "Learning Multi-View Spatial Reasoning from Cross-View Relations (XVR)" has been accepted to #CVPR2026! Current VLMs can reason from a single view surprisingly well, but they still struggle to connect information across multiple viewpoints. To address this, we
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  • user avatar
    Config
    @config_inc
    Apr 29
    Given the recent wave from @RhodaAI and @GeneralistAI—had to join the memory challenge 😄 Memory shouldn’t stop at shell games—check out our robot playing “Runaway” by @kanyewest 🎹 and more in our latest blog: config.inc/blog/memory_pr…
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    Generalist
    @GeneralistAI
    Apr 21
    GEN-1 plays the 🐚 shell game, trained on just 1 hr of robot data. It also generalizes to unseen objects, like @BerkayAntmen 's car keys. Physical AI models should be capable of benchmark tasks like this one. It's interesting for the all the reasons @RhodaAI calls out --
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    Config
    @config_inc
    Apr 29
    [3] And of course, a classic shell game 😉
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  • user avatar
    Config
    @config_inc
    Apr 29
    Replying to @config_inc
    [2] A robot that tidies up by putting things back where they belong 🦾
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  • Config reposted
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    NVIDIA Robotics
    NVIDIA
    @NVIDIARobotics
    Apr 7
    Meet the next wave of robotics startups. 🤖 The AWS x @MassRobotics Fellowship cohort is advancing real-world robotics across agriculture, manufacturing, humanoids and beyond. From autonomous farming to AI-driven automation, #NVIDIAInception members @burro_ai, @config_inc,
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  • user avatar
    Config
    @config_inc
    Apr 7
    Most robot data is collected in human-free environments — but the real world is not. We're closing that gap by collecting human-present data. Our models learn to naturally pause, yield, and collaborate! Blog post: config.inc/blog/hrc_previ… 🧵1/N
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    user avatar
    Config
    @config_inc
    Apr 7
    Left is a model trained on human-absent data collides with a person. Right is our model, trained on human-present demonstrations, works safely alongside them. Models trained the conventional way — on human-absent data — simply don't develop these behaviors. They collide with a
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    user avatar
    Config
    @config_inc
    Apr 7
    We see this as an important step toward robot foundation models that are ready for the places where people actually live and work — homes, factories, care facilities. If you're interested in our data, models, or just want to talk, we'd love to hear from you at
    Contact Config
    From forms.config.inc
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  • user avatar
    Config
    @config_inc
    Mar 12
    Excited to share that we've been selected for the second cohort of the MassRobotics Physical AI Fellowship! We're proud to join an incredible group of companies pushing the boundaries of Physical AI. If you're heading to GTC, let's connect! #PhysicalAI #Robotics #MassRobotics
    user avatar
    MassRobotics
    @MassRobotics
    Mar 12
    MassRobotics is excited to announce the second cohort of the Physical AI Fellowship powered by @awscloud Startup and @nvidia Inception. 🤖 2026 Cohort: @burro_ | @config_inc | Deltia | @HaplyRobotics | Luminous | @roboto_ai | Telexistence | Terra Robotics | WIRobotics Inc.
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  • user avatar
    Config
    @config_inc
    Feb 27
    Hello world 🤖👋🏻—We are Config. Today, we’re excited to share a preview (🔗 config.inc/blog/tech_prev…) of what we’ve been building. Our mission is to make robots capable of reliably performing two-handed tasks across diverse real-world settings materially more cost- and
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    user avatar
    Config
    @config_inc
    Feb 27
    Replying to @config_inc
    6/ See the resulting policy after two rounds of online-data driven improvement on the popcorn-serving task
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    user avatar
    Config
    @config_inc
    Feb 27
    7/ Check out how models trained through our pipeline perform across additional tasks on our YouTube channel: 🔗youtube.com/@config_inc_ad… 🤖🦾🤖🦾
    youtube.com
    Config
    We build the data infrastructure and technology that enables general-purpose robotic bimanual manipulation.
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