Creating works-like prototypes of mechanical objects

Koo, Bong-Jin; Li, Wilmot; Yao, JiaXian; Agrawala, Maneesh; Mitra, Niloy J.

doi:10.1145/2661229.2661289

Cited by 53 publications

(44 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Typically, these approaches optimize object properties to meet a specific functional goal, and often consist of a mix of interactionand numerical optimization-based approaches. Recent work, for example, investigated the design of plush toys [Mori and Igarashi 2007], furniture [Saul et al 2011;Umetani et al 2012;Lau et al 2011;Schulz et al 2014], clothes [Umetani et al 2011], inflatable structures [Skouras et al 2014], wire meshes ], mechanical objects [Koo et al 2014;Zhu et al 2012;Coros et al 2013], and masonry structures [Whiting et al 2012;Vouga et al 2012].…”

Section: Related Workmentioning

confidence: 99%

Computational multicopter design

Du¹,

Schulz²,

Zhu³

et al. 2016

ACM Trans. Graph.

View full text Add to dashboard Cite

Figure 1: We provide an interactive system for users to design, optimize and fabricate multicopters. We explore the design space to allow multicopter design with free-form geometry and nonstandard motor positions and directions. Based on user-specified metrics, our system optimizes the copter geometry and suggests a valid controller. Left: a multicopter example with free-form geometry, various motor heights and different propeller sizes. Middle: a pentacopter with optimized motor positions and orientations, allowing 30% increase in payload. Right: a classic hexacopter with three pairs of coaxial propellers. AbstractWe present an interactive system for computational design, optimization, and fabrication of multicopters. Our computational approach allows non-experts to design, explore, and evaluate a wide range of different multicopters. We provide users with an intuitive interface for assembling a multicopter from a collection of components (e.g., propellers, motors, and carbon fiber rods). Our algorithm interactively optimizes shape and controller parameters of the current design to ensure its proper operation. In addition, we allow incorporating a variety of other metrics (such as payload, battery usage, size, and cost) into the design process and exploring tradeoffs between them. We show the efficacy of our method and system by designing, optimizing, fabricating, and operating multicopters with complex geometries and propeller configurations. We also demonstrate the ability of our optimization algorithm to improve the multicopter performance under different metrics.

show abstract

Section: Related Workmentioning

confidence: 99%

Computational multicopter design

Du¹,

Schulz²,

Zhu³

et al. 2016

ACM Trans. Graph.

View full text Add to dashboard Cite

show abstract

“…These problems arise from architectural design [Pottmann et al 2007], 3D printing [Luo et al 2012] and prototyping of mechanical objects including furniture [Koo et al 2014].…”

Section: Related Workmentioning

confidence: 99%

“…Umetani et al [2012] develop an interactive system to assist exploration and design of geometrically and physically valid plank-based furniture. A growing body of recent works [Saul et al 2011;Schmidt and Ratto 2013;Schulz et al 2014;Koo et al 2014] propose data-or user-driven approaches to design fabricatable furniture. The key motivation for most of these works is to automate the design process and reduce human effort.…”

Section: Related Workmentioning

confidence: 99%

“…Our core technical contribution is the introduction and solution to foldabilization, a challenging geometry problem. Recent work of Koo et al [2014] can also produce folding solutions while allowing part scaling. However, in their work, the user is required to directly specify folding (part) pairs, and only withinpair collision resolution is considered.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Foldabilizing furniture

Alhashim

et al. 2015

ACM Trans. Graph.

View full text Add to dashboard Cite

We introduce the foldabilization problem for space-saving furniture design. Namely, given a 3D object representing a piece of furniture, our goal is to apply a minimum amount of modification to the object so that it can be folded to save space -the object is thus foldabilized. We focus on one instance of the problem where folding is with respect to a prescribed folding direction and allowed object modifications include hinge insertion and part shrinking.We develop an automatic algorithm for foldabilization by formulating and solving a nested optimization problem operating at two granularity levels of the input shape. Specifically, the input shape is first partitioned into a set of integral folding units. For each unit, we construct a graph which encodes conflict relations, e.g., collisions, between foldings implied by various patch foldabilizations within the unit. Finding a minimum-cost foldabilization with a conflictfree folding is an instance of the maximum-weight independent set problem. In the outer loop of the optimization, we process the folding units in an optimized ordering where the units are sorted based on estimated foldabilization costs. We show numerous foldabilization results computed at interactive speed and 3D-print physical prototypes of these results to demonstrate manufacturability.

show abstract

“…Lau et al (2011) proposed a method to decompose it into parts and connectors according to fabrication constraints. Recently, Koo et al (2014) introduced a system for creating works-like prototypes of mechanical objects and Thomaszewski et al (2014) proposed a system for designing linkage-based characters computationally. The technologies that perform physical simulations during shape design also fall into the area of concurrent engineering, where its philosophy is to take different targets of product design into account in parallel (Liu et al, 2010).…”

Section: Related Workmentioning

confidence: 99%

Agile structural analysis for fabrication-aware shape editing

Xie

Yang

et al. 2015

Computer Aided Geometric Design

View full text Add to dashboard Cite

This paper presents an agile simulation-aided shape editing system for personal fabrication applications. The finite element structural analysis and geometric design are seamlessly integrated within our system to provide users interactive structure analysis feedback during mesh editing. Observing the fact that most editing operations are actually local, a domain decomposition framework is employed to provide unified interface for shape editing, FEM system updating and shape optimization. We parameterize entries of the stiffness matrix as polynomial-like functions of geometry editing parameters thus the underlying FEM system can be rapidly synchronized once edits are made. A local update scheme is devised to re-use the untouched parts of the FEM system thus a lot repetitive calculations are avoided. Our system can also perform shape optimizations to reduce high stresses in model while preserving the appearance of the model as much as possible. Experiments show our system provides users a smooth editing experience and accurate feedback.

show abstract

Creating works-like prototypes of mechanical objects

Cited by 53 publications

References 23 publications

Computational multicopter design

Computational multicopter design

Foldabilizing furniture

Agile structural analysis for fabrication-aware shape editing

Contact Info

Product

Resources

About