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Deepak Pathak
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Deepak Pathak
@deepakpathak
Co-Founder & CEO @SkildAI, Faculty @CarnegieMellon. PhD @UCBerkeley; BTech @IITKanpur I study topics in AI (robotics, machine learning & computer vision).
Pittsburgh, PA
cs.cmu.edu/~dpathak/
Joined May 2013
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  • Pinned
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    Deepak Pathak
    @deepakpathak
    Apr 8
    We hosted Prof. Alyosha Efros (UC Berkeley) at @SkildAI! He didn't believe that robots could actually cook eggs reliably. :) Tested back-to-back 5times without fail! One batch of scrambled eggs every ~2.5mins nonstop. The same model assembles a GPU on a server rack too.
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  • user avatar
    Deepak Pathak
    @deepakpathak
    Jun 11
    Force is arguably the most overlooked ingredient in modern robot learning. Introducing FACTR 2: it turns *any* commodity robot into a force-aware system with no force sensors required. Train a tiny force network in <1min with <10mins of data and drop it into any existing
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    Jason Liu
    @JasonJZLiu
    Jun 11
    💥Introducing FACTR 2, learning external force sensing on commodity robot arms without needing dedicated sensors. We show that learned force signals enable force-feedback teleop on low-cost arms and improve BC policies. FACTR 2 consists of: 1. Neural External Torque (NEXT):
    39K
  • user avatar
    Deepak Pathak
    @deepakpathak
    Jun 10
    I’m deeply grateful to receive the PAMI Young Researcher Award. This recognition is a reflection of the exceptional students, colleagues, collaborators, and mentors I’ve had the privilege to learn from and work alongside. 🙏😇 Thanks, TC PAMI and @CVPR, for this honor.
    user avatar
    Skild AI
    @SkildAI
    Jun 9
    Exciting news! 🎉 Our CEO & Co-founder, Deepak Pathak (@deepakpathak), received the PAMI Young Researcher Award at #CVPR2026 this week. Among the highest honors in computer vision for early-career researchers, the award recognizes groundbreaking contributions that have a lasting
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    Deepak Pathak
    @deepakpathak
    Apr 16
    Excited to share Sim2Reason -- training LLMs in simulation to learn Olympiad-level physics (mechanics)! Today, LLMs learn science by reading what humans have already written, absorbing distilled knowledge from textbooks and the internet. But human-annotated physics data is
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    Mihir Prabhudesai
    @mihirp98
    Apr 16
    What if AI learned physics the way Newton did – by experiencing it? We built Sim2Reason: train LLMs inside virtual worlds governed by real physics laws, zero human annotation. Result: +5–10% improvement on International Physics Olympiad, zero-shot. 🧵
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    Deepak Pathak
    @deepakpathak
    Apr 15
    Excited to announce that @SkildAI has completed the acquisition of Zebra Technologies’ robotics arm (formerly Fetch Robotics). By combining Zebra's human-robot orchestration platform with omnibodied Skild Brain, we plan to turn warehouses everywhere into hubs of
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