Bayesian topology optimization for efficient design of origami folding structures

Shende, Sourabh; Gillman, Andrew; Yoo, David; Buskohl, Philip R.; Vemaganti, Kumar

doi:10.1007/s00158-020-02787-x

Cited by 23 publications

(3 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach can offer robust solutions for optimizing the black-box functions, applying a non-parametric Gaussian process to simulate unknown functions. A surrogate utility function, also known as the acquisition function, is another main component of Bayesian optimization, which is defined as a way to improve the optimality of the underlying function [37]. In this study, considering the benefits of Bayesian Optimization and shortcomings of other techniques, we employ this technique for optimization tuning.…”

Section: Hyperparameter Tuningmentioning

confidence: 99%

Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs

Khoei

Ismail

Kaabouch

2022

Sensors

View full text Add to dashboard Cite

Unmanned aerial vehicles are prone to several cyber-attacks, including Global Positioning System spoofing. Several techniques have been proposed for detecting such attacks. However, the recurrence and frequent Global Positioning System spoofing incidents show a need for effective security solutions to protect unmanned aerial vehicles. In this paper, we propose two dynamic selection techniques, Metric Optimized Dynamic selector and Weighted Metric Optimized Dynamic selector, which identify the most effective classifier for the detection of such attacks. We develop a one-stage ensemble feature selection method to identify and discard the correlated and low importance features from the dataset. We implement the proposed techniques using ten machine-learning models and compare their performance in terms of four evaluation metrics: accuracy, probability of detection, probability of false alarm, probability of misdetection, and processing time. The proposed techniques dynamically choose the classifier with the best results for detecting attacks. The results indicate that the proposed dynamic techniques outperform the existing ensemble models with an accuracy of 99.6%, a probability of detection of 98.9%, a probability of false alarm of 1.56%, a probability of misdetection of 1.09%, and a processing time of 1.24 s.

show abstract

Section: Hyperparameter Tuningmentioning

confidence: 99%

Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs

Khoei

Ismail

Kaabouch

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…There are many studies on the kinematics and the mechanical properties of rigid origami. Various techniques such as optimization and graph theory of mathematics and structural engineering are utilized; e.g., simulation of the folding process based on the projection to the constraint space (Tachi, 2009), origami design based on the Bayesian topology optimization (Shende et al, 2021), rigidity analysis based on the theory of combinatorial rigidity (Katoh and Tanigawa, 2011), and assigning mountain or valley fold to each crease line based on graph theory and mixed-integer linear programming (Chen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Equilibrium path and stability analysis of rigid origami using energy minimization of frame model

Hayakawa

Ohsaki

2022

Front. Built Environ.

View full text Add to dashboard Cite

This paper presents a method of equilibrium path analysis and stability analysis of an equilibrium state for a rigid origami, which consists of rigid flat faces connected by straight crease lines (folding lines) and can be folded and unfolded without deformation of its faces. This property is well suited to the application to deployable structures and morphing building envelopes consisting of stiff panels. In this study, a frame model which consists of hinges and rigid frame members is used to model the kinematics of a rigid origami. Faces and crease lines of a rigid origami are represented by frame members and hinges, respectively. External loads are applied to the nodes of a frame model, and the displacements of some nodes are fixed. Small rotational stiffness proportional to the length of a crease line is assumed in each hinge to uniquely determine the equilibrium state, which is obtained by solving the optimization problem for minimizing the total potential energy under the conditions so that the displacements of the nodes and the members are compatible. The optimization problem is solved by the augmented Lagrangian method, and the positive definiteness of the Hessian of the augmented Lagrangian is investigated to determine the stability of the equilibrium state. Equilibrium path analyses are carried out and bifurcations of the equilibrium paths are investigated for examples with waterbomb patterns.

show abstract

“…In an effort to improve the performance of GA and topology optimization in Ref. [45], the subsequent work [48] uses Bayesian optimization to design origami for a specific task. Rather than focusing on generating patterns, the focus is set on an efficient response evaluation since nonlinear material properties are considered.…”

Section: Introductionmentioning

confidence: 99%

A Computational Design Synthesis Method for the Generation of Rigid Origami Crease Patterns

Zimmermann

Shea

Stanković

2021

Journal of Mechanisms and Robotics

View full text Add to dashboard Cite

Today most origami crease patterns employed in technical applications are selected from a handful of well-known origami principles. Computational algorithms capable of generating novel crease patterns either target artistic origami, focus on quadrilateral creased paper, or do not incorporate direct knowledge for the purposeful design of crease patterns tailored to engineering applications. The lack of computational methods for the generative design of crease patterns for engineering applications arises from a multitude of geometric complexities intrinsic to origami, such as rigid foldability and rigid body modes, many of which have been addressed by recent work of the authors. Based on these findings, in this paper we introduce a Computational Design Synthesis method for the generative design of novel crease patterns to develop origami concepts for engineering applications. The proposed method first generates crease pattern graphs through a graph grammar that automatically builds the kinematic model of the underlying origami and introduces constraints for rigid foldability. Then, the method enumerates all design alternatives that arise from the assignment of different rigid body modes to the internal vertices. These design alternatives are then automatically optimized and checked for intersection to satisfy the given design task. The proposed method is generic and applied here to two design tasks that are a rigidly foldable gripper and a rigidly foldable robotic arm.

show abstract

Bayesian topology optimization for efficient design of origami folding structures

Cited by 23 publications

References 51 publications

Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs

Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs

Equilibrium path and stability analysis of rigid origami using energy minimization of frame model

A Computational Design Synthesis Method for the Generation of Rigid Origami Crease Patterns

Contact Info

Product

Resources

About