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Nicholas Pfaff

@NicholasEPfaff
Robotics PhD Student @MIT_CSAIL
nepfaff.github.io
Joined March 2025
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    Nicholas Pfaff
    @NicholasEPfaff
    Feb 11
    Meet SceneSmith: An agentic system that generates entire simulation-ready environments from a single text prompt. VLM agents collaborate to build scenes with dozens of objects per room, articulated furniture, and full physics properties. We believe environment generation is no
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    Nicholas Pfaff
    @NicholasEPfaff
    Jul 24
    Excited to share that we won 2 workshop Best Paper awards at RSS!
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    Adam Wei
    @adamwei_
    Jul 24
    Ambient Diffusion Policy won 2/2 Best Paper Awards at #RSS2026 workshops! 🏆🏆 • Best Paper — Data-Centric Robotics • Most Useful Practical Information — It’s the Demos I'm super excited to see how the community builds on this work. Huge thanks to the organizers for having
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    Nicholas Pfaff
    @NicholasEPfaff
    Jul 22
    Check out Abhinav's work on long-context Diffusion Policies!
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    Abhinav Agarwal
    @_abhinav_ag
    Jul 22
    Roboticists have been working hard to add memory to “goldfish” imitation learning policies. But do we understand how context length impacts state-of-the-art imitation learning methods? We provide an in-depth analysis of long-context Diffusion Policies to study this 🧵(1/7)
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    Nicholas Pfaff
    @NicholasEPfaff
    Jul 14
    Great to see SceneSmith featured in MIT news!
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    MIT CSAIL
    @MIT_CSAIL
    Jul 14
    Robots lack rich & diverse simulation content, which could teach them tasks across various environments. "SceneSmith" uses three AI agents to create more realistic 3D scenes of places like kitchens & hotels, saving roboticists time on real-world testing: bit.ly/4wkaf5r
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    Nicholas Pfaff
    @NicholasEPfaff
    Jul 6
    I'm at ICML this week, presenting SceneSmith (Spotlight) on Wednesday (10:30-12:15, Hall A, #404). Reach out if you want to chat simulation authoring, agentic systems, robotics, or otherwise!
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    Nicholas Pfaff
    @NicholasEPfaff
    Feb 11
    Meet SceneSmith: An agentic system that generates entire simulation-ready environments from a single text prompt. VLM agents collaborate to build scenes with dozens of objects per room, articulated furniture, and full physics properties. We believe environment generation is no
    Image
    00:00