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Mahi Shafiullah 🏠🤖
@notmahi
Trying to understand the emergence of generally intelligent robotic behavior at @berkeley_ai. Previously @CILVRatNYU @MIT & @Apple AI/ML fellow.
New York, NY
mahis.life
Joined October 2010
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    Mahi Shafiullah 🏠🤖
    @notmahi
    Jun 18
    Robots are the bottleneck in scaling robotics, and learning from human video promises to solve it. But how can chaotic human data ever measure up to sanitized, lab-made teleoperation data? Introducing Do as I Do: establishing a much needed correspondence between human videos and
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    Mahi Shafiullah 🏠🤖
    @notmahi
    Jul 15
    Presenting the poster at #RSS2026 in 25 minutes, please stop by!
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    00:26
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    Mahi Shafiullah 🏠🤖
    @notmahi
    Feb 10
    Best ideas are often the simplest in hindsight. Meet Contact-Anchored Policies (CAP)🧢: by conditioning policies on physical contact (vs language) we achieve env & embodiment generalization with super low resources. This policy ⬇️ learned to pick from scratch w/ 16 hrs of data 🧵
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    Mahi Shafiullah 🏠🤖
    @notmahi
    Jul 14
    We will be in the #RSS2026 poster session at 6:30 PM – stop by with all of your questions!
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    00:18
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    Omar Rayyan
    @omarrayyann
    Feb 11
    MolmoSpaces provides singular scale and diversity. We built a benchmark that puts that scale to use. MolmoSpaces-Bench evaluates zero-shot policies across thousands of environments previously unseen to them under systematic variation, providing insights that go beyond a success
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    Mahi Shafiullah 🏠🤖
    @notmahi
    Jul 12
    I'm at #RSS2026 – presenting MolmoSpaces on Tuesday & CAP (Contact Anchored Policies) on Wednesday. I've been thinking a lot about what robotics 2-5 years from now looks like: beyond teleop and position control. If you're interested about anything from robot free/human data or
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    Mahi Shafiullah 🏠🤖
    @notmahi
    Jun 24
    I think it's a good investment of time for anyone working on robot policy learning to understand where our algorithms came to be; even when you can just use off-the-shelf packages to get a robot going in no time. Also, we have many practical tips that should be relevant for