Computational manufacturing technologies such as 3D printing hold the potential for creating
objects with previously undreamed-of combinations of functionality and physical properties. Human
designers, however, typically cannot exploit the full complexity of which these devices are
capable. This talk is based on a survey which examines recent systems developed by the computer
graphics community in the context of design for fabrication. It summarizes frameworks for
interaction, simulation, and optimization, as well as documents the range of general objectives and
domain-specific goals that have been considered. An important unifying thread in this analysis is
that different underlying geometric and physical representations are necessary for different tasks.
We analyze how classes of representations possess obvious advantages for some needs, but have also
been used in creative manners to facilitate unexpected problem solutions. From the analysis, I will
also portray one of the pressing issues I believe should be investigated: design through
objectives, instead of geometry, using a hierarchical, modular, representation.
Dr. Amit H. Bermano is a recently starting assistant professor at Tel-Aviv University. Until
several weeks ago, he was a postdoctoral researcher at the Princeton Graphics Group, hosted by
Prof. Szymon Rusinkiewicz and Prof. Thomas Funkhouser. Beforehand, he was a postdoctoral researcher
at Disney Research Zurich in the computational materials group (2016). He conducted his doctoral
studies at ETH Zurich, in collaboration with Disney Research Zurich (2016), under the supervision
of Prof. Dr. Markus Gross. His Masters and Bachelors degrees were obtained at The Technion–Israel
Institute of Technology. His research focuses on connecting the geometry processing field with
other fields in computer graphics and vision, mainly by using geometric methods to facilitate other
applications. His interests in this context include computational fabrication, animation, augmented
reality, medical imaging, and machine learning.
University of Konstanz, Universitätsstr. 10, Konstanz
Unfortunately, the talk will not be transmitted to Stuttgart and Tübingen.