• logic matter

    logic matter
    cambridge MASSACHUSETTS

    suckerPUNCH: describe your project.

    skylar TIBBITS: Logic Matter: Digital Logic as heuristics for physical self-guided-assembly
    Given the increasing complexity of the physical structures surrounding our everyday environment; buildings, machines, computers and almost every other physical object that humans interact with, the processes of assembling these complex structures are inevitably caught in a battle of time, complexity and human/machine processing power. If we are to keep up with this exponential growth in construction complexity we need to develop automated assembly logic embedded within our material parts to aid in construction.

    In this thesis I introduce Logic Matter as a system of passive mechanical digital logic modules for self-guided-assembly of large-scale structures. As opposed to current systems in self-reconfigurable robotics, Logic Matter introduces scalability, robustness, redundancy and local heuristics to achieve passive assembly. I propose a mechanical module that implements digital NAND logic as an effective tool for encoding local and global assembly sequences. I then show a physical prototype that successfully demonstrates the described mechanics, encoded information and passive self-guided-assembly. Finally, I show exciting potentials of Logic Matter as a new system of computing with applications in space/volume filling, surface construction, and 3D circuit assembly.

    sP: what or who influenced this project?

    sT: RALA, Growing Machines – Saul Griffith , Von Neuman’s Self-Replicating Machines, Spatial Computing & Jonathan Bachrach, Boolean/Bubble/Billiard Logic, Shannon/Popescu/Gershenfeld’s Digital Materials, Programmable Matter & CBA @ MIT.

    sP: what were you reading/listening to/watching while developing this project?

    sT: Daft Punk, “Science is Culture” by Adam Bl

    sP: whose work is currently on your radar?

    sT: Saul Griffith, Jonathan Bachrach, Ara Knaian, Kenny Chung, Maxim Lobovsky, Tom Knight, Erik Demaine, Paul Rothemund etc.

    Additional credits:
    Advisor: Terry Knight
Professor of Design and Computation, Department of Architecture, MIT
    Advisor: Patrick Winston
Ford Professor of Artificial Intelligence and Computer Science, EECS, MIT
    Reader: Erik Demaine
    Associate Professor, EECS, MIT

    Many thanks to the rest of the group at Neil Gershenfeld’s Center for Bits and Atoms.

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