Show simple item record

dc.contributor.advisor Lien, Jyh-Ming
dc.contributor.author Xi, Zhonghua
dc.creator Xi, Zhonghua
dc.date.accessioned 2018-10-22T01:21:18Z
dc.date.available 2018-10-22T01:21:18Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/1920/11311
dc.description.abstract Recent advances in robotics engineering and material science accelerate the development of self-folding machines, the robots that can fold themselves from flat materials to functional 3D shapes. However, designing such self-folding machines remains extremely challenging. First, finding a 2D (flat) structure that can be folded back to the original 3D shape in nontrivial especially for non-convex shapes. Furthermore, whether there exists a folding motion that continuously transforms the foldable object from one state to another without self-intersection, is one of the major concerns but rarely explored area in self-folding robots. In this dissertation, I study both unfolding and folding problems for two types of foldable objects: rigid origami and nets of Polyhedra. I make three main contributions throughout the dissertation: 1) Consider motion in foldability optimization when designing foldable objects; 2) Make both unfolding and folding easier for the machine (algorithm) and human folders via a new geometric data structure and a new foldability-aware segment strategy; 3) Propose a novel approach to compress an object with thick surface material to its most compact form via stacking. This super compressed form enables the manufacturing (such as 3D-printing) and transportation of large object in a significantly smaller space.
dc.format.extent 134 pages
dc.language.iso en
dc.rights Copyright 2017 Zhonghua Xi
dc.subject Computer science en_US
dc.subject Folding en_US
dc.subject Motion Planning en_US
dc.subject Origami en_US
dc.subject Paper Crafting en_US
dc.subject Shape Segmentaion en_US
dc.subject Unfolding en_US
dc.title Making Shapes Foldable
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Computer Science
thesis.degree.grantor George Mason University


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics