Materials Research

In this work, we address the problem of mapping a real-world material to its nearest 3D printable counterpart by constructing a perceptual model for the compliance of nonlinearly elastic objects. We begin by building a perceptual space from experimentally obtained user comparisons of twelve 3D-printed metamaterials.

In our approach, we construct an acoustic filter comprised of a set of parameterized shape primitives, whose transmission matrices can be precomputed.

We present a compiler that can automatically turn assemblies of high-level shape primitives (tubes, sheets) into low-level machine instructions.

We present a computational tool for designing ornamental curve networks—structurally-sound physical surfaces with user-controlled aesthetics.

We present a novel method to design shells with artistic cutouts in a manner that produces a stable final result.

We propose to use computational design to offset the technical difficulties of this process.

We present a novel optimization-based algorithm for the design and fabrication of customized, deformable input devices, capable of continuously sensing their deformation.

We present an interactive design system that allows casual users to quickly create 3D-printable robotic creatures.

We present an interactive tool for designing physical surfaces made from flexible interlocking quadrilateral elements of a single size and shape.