Making Shapes Foldable
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.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.identifier.uri | https://hdl.handle.net/1920/11311 | |
dc.language.iso | en | |
dc.rights | Copyright 2017 Zhonghua Xi | |
dc.subject | Computer science | |
dc.subject | Folding | |
dc.subject | Motion planning | |
dc.subject | Origami | |
dc.subject | Paper Crafting | |
dc.subject | Shape Segmentaion | |
dc.subject | Unfolding | |
dc.title | Making Shapes Foldable | |
dc.type | Dissertation | |
thesis.degree.discipline | Computer Science | |
thesis.degree.grantor | George Mason University | |
thesis.degree.level | Ph.D. |
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