Computational origami for sensor configuration and control

Abstract

We describe one approach for the development of generation-after-next microsystems that have on-the-fly sensing and processing adaptivity. These microsystems function as the lowest level in a multitiered network. Ideas for the development of these microsystems borrow from several evolving fields, including origami folding, computational geometry, topology, and three-dimensional nanofabrication techniques. This work is driven by the "geometry of computation and sensing". In other words, how do the spatial structures of computational and sensing devices define their properties, and, more importantly, can we use geometry as a design tool? Ultimately we envision families of microbots, built from cell-like modules analogous to stem cells, which can not only learn and adjust to their environment but furthermore can adapt their form and function to accommodate possibly changing environments.