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Venkatesh
67 posts
@venkyp2000

Venkatesh

@venkyp2000
@Meta SuperIntelligence Labs. Founding team @ ARI | robot therapist
New York City
venkyp.com
Joined March 2017
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  • Pinned
    @venkyp2000
    Venkatesh
    @venkyp2000
    Jun 18, 2025
    Making touch sensors has never been easier! Excited to present eFlesh, a 3D printable tactile sensor that aims to democratize robotic touch. All you need to make your own eFlesh is a 3D printer, some magnets and a magnetometer. See thread 👇and visit e-flesh.com
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  • @venkyp2000
    Venkatesh
    @venkyp2000
    Aug 20
    Was awesome working on bringing Muse Spark into embodied AI! More to come
    @alexandr_wang
    Alexandr Wang
    Meta
    @alexandr_wang
    Aug 20
    1/ muse spark 1.2 is a very strong multimodal model—it can do visual coding, robotics planning, and audio-visual understanding that all come together through agentic tools.
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  • @venkyp2000
    Venkatesh
    @venkyp2000
    Feb 14
    Standing desk as a robot lift! Such a simple, inexpensive solution
    @MEnesErciyes
    Enes Erciyes
    @MEnesErciyes
    Feb 13
    One of the most exciting things we did with YOR is we found an off-the-shelf solution for a vertical lift. We just hacked a standing desk leg by reading its quadrature encoder and driving its motor through an H-bridge. It's only ~200$ to have a vastly larger workspace.
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  • @venkyp2000
    Venkatesh
    @venkyp2000
    Feb 12
    Check out this amazing new robot from @MEnesErciyes , @AnjariaManan and team! A significant step towards a uniform capable open source robot platform. It is built in NYC, so rest assured it’s sleek and space-saving.
    @MEnesErciyes
    Enes Erciyes
    @MEnesErciyes
    Feb 12
    Robots don't need to be expensive or complex to be capable. Meet YOR, our new open-source, bimanual mobile manipulator robot for less than ~$10k.
  • @venkyp2000
    Venkatesh
    @venkyp2000
    Feb 10
    Elegant solution to an important challenge from @jeffacce , @HarithejaE , @notmahi and team!
    @notmahi
    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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