Norigami Folding Machines for Complex 3D Shapes

2016 ◽  
Author(s):  
J. A. Romero ◽  
L. A. Diago ◽  
C. Nara ◽  
J. Shinoda ◽  
I. Hagiwara
Keyword(s):  
Current Work ◽  
Science And Engineering ◽  
Spherical Object ◽  
Spatial Object ◽  
3D Objects ◽  
Flat Sheet ◽  
3D Shapes

Creating complex 3D objects from a flat sheet of material using origami folding techniques has attracted attention in science and engineering. Here, we introduce the concept of “Norigami” that is a mixture of three Japanese words: “Nori” that means glue, “Ori” that means Folding, and “Kami”/“Gami” that means paper. Using traditional origami, spherical or other spatial object are very difficult to achieve by a robot due to the complexity of the movements involved. In Norigami complex 3D shapes can be achieved by a machine or robot mixing simple origami folding with pasting patterns. In the current work, a Norigami robot is designed and developed using Lego NXT technology in order to create a spherical object that can be mass produced.

scholarly journals DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes

2020 ◽  
Author(s):  
Mahyar Najibi ◽  
Guangda Lai ◽  
Abhijit Kundu ◽  
Zhichao Lu ◽  
Vivek Rathod ◽  
...  
Keyword(s):  
3D Objects ◽  
3D Shapes

scholarly journals Additive lattice kirigami

2016 ◽  
Vol 2 (9) ◽  
pp. e1601258 ◽  
Author(s):  
Toen Castle ◽  
Daniel M. Sussman ◽  
Michael Tanis ◽  
Randall D. Kamien
Keyword(s):  
Gaussian Curvature ◽  
Three Dimensional ◽  
Complex Structures ◽  
3D Structures ◽  
Flat Sheet ◽  
Simple Rules ◽  
New Material ◽  
3D Shapes ◽  
Huge Variety

Kirigami uses bending, folding, cutting, and pasting to create complex three-dimensional (3D) structures from a flat sheet. In the case of lattice kirigami, this cutting and rejoining introduces defects into an underlying 2D lattice in the form of points of nonzero Gaussian curvature. A set of simple rules was previously used to generate a wide variety of stepped structures; we now pare back these rules to their minimum. This allows us to describe a set of techniques that unify a wide variety of cut-and-paste actions under the rubric of lattice kirigami, including adding new material and rejoining material across arbitrary cuts in the sheet. We also explore the use of more complex lattices and the different structures that consequently arise. Regardless of the choice of lattice, creating complex structures may require multiple overlapping kirigami cuts, where subsequent cuts are not performed on a locally flat lattice. Our additive kirigami method describes such cuts, providing a simple methodology and a set of techniques to build a huge variety of complex 3D shapes.

Semantic Enabled 3D Object Retrieval

2010 ◽  
Vol 159 ◽  
pp. 128-131
Author(s):  
Jiang Zhou ◽  
Xin Yu Ma
Keyword(s):  
Domain Knowledge ◽  
Regions Of Interest ◽  
3D Object Retrieval ◽  
3D Shape Retrieval ◽  
Object Retrieval ◽  
3D Object ◽  
3D Objects ◽  
Retrieval Systems ◽  
3D Shapes ◽  
Spatial Semantics

In the case of traditional 3D shape retrieval systems, the objects retrieved are based mainly on the computation of low-level features that are used to detect so-called regions-of-interest. This paper focuses on obtaining the retrieved objects in a machine understandable and intelligent manner. We explore the different kinds of semantic descriptions for retrieval of 3D shapes. Based on ontology technology, we decompose a 3D objects into meaningful parts semi-automatically. Each part can be regarded as a 3D object, and further be semantically annotated according to ontology vocabulary from the Chinese cultural relics. Three kinds of semantic models such as description semantics of domain knowledge, spatial semantics and scenario semantics, are presented for describing semantic annotations from different viewpoints. These annotated semantics can accurately grasp complete semantic descriptions of 3D shapes.

Computational Object-Wrapping Rope Nets

2022 ◽  
Vol 41 (1) ◽  
pp. 1-16
Author(s):  
Jian Liu ◽  
Shiqing Xin ◽  
Xifeng Gao ◽  
Kaihang Gao ◽  
Kai Xu ◽  
...  
Keyword(s):  
Continuous Optimization ◽  
Optimization Approach ◽  
Construction Process ◽  
Topological Constraints ◽  
3D Objects ◽  
Physical Experiments ◽  
Discrete Phase ◽  
Anchor Points ◽  
3D Shapes ◽  
Easy Operation

Wrapping objects using ropes is a common practice in our daily life. However, it is difficult to design and tie ropes on a 3D object with complex topology and geometry features while ensuring wrapping security and easy operation. In this article, we propose to compute a rope net that can tightly wrap around various 3D shapes. Our computed rope net not only immobilizes the object but also maintains the load balance during lifting. Based on the key observation that if every knot of the net has four adjacent curve edges, then only a single rope is needed to construct the entire net. We reformulate the rope net computation problem into a constrained curve network optimization. We propose a discrete-continuous optimization approach, where the topological constraints are satisfied in the discrete phase and the geometrical goals are achieved in the continuous stage. We also develop a hoist planning to pick anchor points so that the rope net equally distributes the load during hoisting. Furthermore, we simulate the wrapping process and use it to guide the physical rope net construction process. We demonstrate the effectiveness of our method on 3D objects with varying geometric and topological complexity. In addition, we conduct physical experiments to demonstrate the practicability of our method.

scholarly journals GENERATION OF 3D SHAPES WITH SUPERELLIPSOIDS, SUPERTOROIDS, SUPER CYLINDERS AND SUPER CONES

2017 ◽  
Vol 18 (2) ◽  
Author(s):  
D.L. ŞTEFAN ŢĂLU
Keyword(s):  
Computational Geometry ◽  
Computer Aided Design ◽  
Geometric Constructions ◽  
Geometric Information ◽  
3D Objects ◽  
Computer Aided ◽  
Aided Design ◽  
3D Shapes

<p>The purpose of this paper is to present a CAD study for generating of 3D shapes with superellipsoids, supertoroids, super cylinders and super cones based on computational geometry. To obtain the relevant geometric information concerning the shape and profile for different 3D objects the Madsie Freestyle 1.5.3 application was used. Results from this study are applied in geometric constructions and computer aided design used in engineering and sculpture design.</p>

Representation of Similarity in Three-Dimensional Object Discrimination

1995 ◽  
Vol 7 (2) ◽  
pp. 408-423 ◽  
Author(s):  
Shimon Edelman
Keyword(s):  
Three Dimensional ◽  
Feature Space ◽  
Space Representation ◽  
Response Data ◽  
3D Objects ◽  
Visual Objects ◽  
Low Dimensional ◽  
Dimensional Object ◽  
3D Shapes

How does the brain represent visual objects? In simple perceptual generalization tasks, the human visual system performs as if it represents the stimuli in a low-dimensional metric psychological space (Shepard 1987). In theories of three-dimensional (3D) shape recognition, the role of feature-space representations [as opposed to structural (Biederman 1987) or pictorial (Ullman 1989) descriptions] has long been a major point of contention. If shapes are indeed represented as points in a feature space, patterns of perceived similarity among different objects must reflect the structure of this space. The feature space hypothesis can then be tested by presenting subjects with complex parameterized 3D shapes, and by relating the similarities among subjective representations, as revealed in the response data by multidimensional scaling (Shepard 1980), to the objective parameterization of the stimuli. The results of four such tests, accompanied by computational simulations, support the notion that discrimination among 3D objects may rely on a low-dimensional feature space representation, and suggest that this space may be spanned by explicitly encoded class prototypes.

scholarly journals Learning Part Generation and Assembly for Structure-Aware Shape Synthesis

2020 ◽  
Vol 34 (07) ◽  
pp. 11362-11369 ◽  
Author(s):  
Jun Li ◽  
Chengjie Niu ◽  
Kai Xu
Keyword(s):  
Generative Models ◽  
Structural Variations ◽  
3D Shape ◽  
3D Objects ◽  
Holistic Approaches ◽  
Daunting Task ◽  
Shape Structure ◽  
Shape Editing ◽  
3D Shapes ◽  
Correct Topology

Learning powerful deep generative models for 3D shape synthesis is largely hindered by the difficulty in ensuring plausibility encompassing correct topology and reasonable geometry. Indeed, learning the distribution of plausible 3D shapes seems a daunting task for the holistic approaches, given the significant topological variations of 3D objects even within the same category. Enlightened by the fact that 3D shape structure is characterized as part composition and placement, we propose to model 3D shape variations with a part-aware deep generative network, coined as PAGENet. The network is composed of an array of per-part VAE-GANs, generating semantic parts composing a complete shape, followed by a part assembly module that estimates a transformation for each part to correlate and assemble them into a plausible structure. Through delegating the learning of part composition and part placement into separate networks, the difficulty of modeling structural variations of 3D shapes is greatly reduced. We demonstrate through both qualitative and quantitative evaluations that PAGENet generates 3D shapes with plausible, diverse and detailed structure, and show two applications, i.e., semantic shape segmentation and part-based shape editing.

Study of Shape Representation Using Internal Radiated-light Projection

2002 ◽  
Vol 14 (4) ◽  
pp. 357-365
Author(s):  
Takahiro Doi ◽  
◽  
Shigeo Hirose
Keyword(s):  
Shape Representation ◽  
Contour Analysis ◽  
Shape Information ◽  
Local Shape ◽  
3D Objects ◽  
Recent Developments ◽  
Real Objects ◽  
Object Shapes ◽  
Straight Lines ◽  
3D Shapes

Recent developments in 3D sensors have raised the possibility of using them in an increasing number of engineering applications. However, since most 3D sensors, such as the laser range finder, are based on the use of light, which moves in straight lines, the measurement area is limited to the front of an object, making the back an ""invisible"" surface. To calculate such unmeasurable areas, a system that memorizes shapes often encountered in objects and superimposes them on the scene is required. To realize such a type of system, an appropriate 3D shape representation is needed. This representation should 1) be able to handle and compare partial and complete sets of data of object shapes, and 2) operate quickly enough to be applicable to real-time tasks. We developed a novel shape representation framework called ""Internal Radiated-light Projection (IRP)"" to represent and compare 3D objects. This representation projects local shape information of an object on a sphere by imaginary rays from the ""kernel"" of the object. To describe local shape information and arrange shapes properly, we propose Harmonic Contour Analysis (HCA) and the Shape Matrix. These concepts are characterized by 1) simplicity; 2) the use of local shapes and their adjacent information; and, by using the Shape Matrix, 3) the consideration of the effect of gravity and stable poses for objects. In IRP representation, we can categorize objects in known classes and calculate their positions and attitudes. This paper explains the basic concept behind IRP, which is a way of representing local 3D shapes by HCA and categorizing them using the Shape Matrix. We then present experiments in object recognition for both virtual and real objects to demonstrate its efficiency and feasibility.

scholarly journals Unraveling metamaterial properties in zigzag-base folded sheets

2015 ◽  
Vol 1 (8) ◽  
pp. e1500224 ◽  
Author(s):  
Maryam Eidini ◽  
Glaucio H. Paulino
Keyword(s):  
Design Space ◽  
Numerical Models ◽  
Science And Engineering ◽  
Deployable Structures ◽  
Spatial Objects ◽  
Base Materials ◽  
Flat Sheet ◽  
Mechanical Metamaterials ◽  
Wide Range ◽  
Similar Materials

Creating complex spatial objects from a flat sheet of material using origami folding techniques has attracted attention in science and engineering. In the present work, we use the geometric properties of partially folded zigzag strips to better describe the kinematics of known zigzag/herringbone-base folded sheet metamaterials such as Miura-ori. Inspired by the kinematics of a one–degree of freedom zigzag strip, we introduce a class of cellular folded mechanical metamaterials comprising different scales of zigzag strips. This class of patterns combines origami folding techniques with kirigami. Using analytical and numerical models, we study the key mechanical properties of the folded materials. We show that our class of patterns, by expanding on the design space of Miura-ori, is appropriate for a wide range of applications from mechanical metamaterials to deployable structures at small and large scales. We further show that, depending on the geometry, these materials exhibit either negative or positive in-plane Poisson’s ratios. By introducing a class of zigzag-base materials in the current study, we unify the concept of in-plane Poisson’s ratio for similar materials in the literature and extend it to the class of zigzag-base folded sheet materials.

scholarly journals Edukasi Pengenalan Huruf Hijaiyah dengan Memanfaatkan Teknologi Augmented Reality

2021 ◽  
Vol 5 (4) ◽  
pp. 558
Author(s):  
Fajar Septian ◽  
Bobi Agustian
Keyword(s):  
Augmented Reality ◽  
Three Dimensional ◽  
Science And Engineering ◽  
Software Developers ◽  
Identification Process ◽  
Additional Information ◽  
3D Objects ◽  
The World ◽  
Augmented Reality Technology ◽  
The Way

Augmented Reality (AR) technology provides opportunities for science and engineering. AR also has great opportunities in the world of education, which is to provide and display additional information in the form of 3D objects, video, sound, and text on an object. Smartphone software developers have developed Augmented reality technology that was previously developed on PC devices where this technology utilizes the existing camera on a smartphone. With this situation, AR technology has the opportunity to be used in the development of a media for recognizing hijaiyah letters, so that children will be happier learning because of its attractive appearance and teachers or parents can more easily teach lessons to their children. The way to use it is as follows: first, the user puts a registered and printed marker, second, the smartphone camera identifies (tracking) the marker. If the marker is invalid, the user repeats the identification process. If the marker is valid and identified, the marker will display the hijaiyah letter object in three-dimensional form. Third, users can understand the shape and pronunciation of hijaiyah letters by touching the virtual button on the marker

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