Computational design of actuated deformable characters

Skouras, Mélina; Thomaszewski, Bernhard; Coros, Stelian; Bickel, Bernd; Groß, Markus

doi:10.1145/2461912.2461979

Cited by 157 publications

(108 citation statements)

References 34 publications

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“…Some early work on 3D printing multi-material meta-materials has been demonstrated by Bickel et al [2010] and Skouras et al [Skouras et al 2013]. We show that our printer can fabricate even more complex multi-material metamaterials.…”

Section: Applicationsmentioning

confidence: 57%

“…In this area, researchers have already developed a number of applications that specifically take advantage of printing with multiple materials. They have built processes for the design and fabrication of objects with desired deformation properties [Bickel et al 2010], objects with desired subsurface scattering [Dong et al 2010;Hašan et al 2010], lenticular prints [Tompkin et al 2013], and actuated deformable characters [Skouras et al 2013]. There has also been a significant interest in applications of multi-material 3D printing in other fields.…”

Section: Previous Workmentioning

confidence: 99%

“…This technology has a myriad of yet unexplored applications that will inspire future research and stimulate a number of industrial markets. Computer graphics researchers both in academia and in industry share this enthusiasm -they have started contributing significantly to the development of applications and tools for 3D printing [Dong et al 2010;Bickel et al 2010;Vidimče et al 2013;Chen et al 2013;Tompkin et al 2013;Skouras et al 2013]. …”

Section: Introductionmentioning

confidence: 99%

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MultiFab

Ramos²,

et al. 2015

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Figure 1: Our multi-material 3D printer (left) and a set of fabricated materials and objects (right). AbstractWe have developed a multi-material 3D printing platform that is high-resolution, low-cost, and extensible. The key part of our platform is an integrated machine vision system. This system allows for self-calibration of printheads, 3D scanning, and a closed-feedback loop to enable print corrections. The integration of machine vision with 3D printing simplifies the overall platform design and enables new applications such as 3D printing over auxiliary parts. Furthermore, our platform dramatically expands the range of parts that can be 3D printed by simultaneously supporting up to 10 different materials that can interact optically and mechanically. The platform achieves a resolution of at least 40 µm by utilizing piezoelectric inkjet printheads adapted for 3D printing. The hardware is low cost (less than $7,000) since it is built exclusively from off-the-shelf components. The architecture is extensible and modular -adding, removing, and exchanging printing modules can be done quickly. We provide a detailed analysis of the system's performance. We also demonstrate a variety of fabricated multi-material objects.

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Section: Applicationsmentioning

confidence: 57%

Section: Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MultiFab

Ramos²,

et al. 2015

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“…In future work, we would like to let users, both children and adults, freely design and print their own story worlds, including sets, props and characters [29] and turn their stories into movies using intelligent tools for 3D animation [30] and cinematography [31]. A variation of the Figurines framework has also been used in an experiment to monitor players while solving Chess problem [32].…”

Section: Resultsmentioning

confidence: 99%

Figurines, a multimodal framework for tangible storytelling

Portaz¹,

Garcia²,

Barbulescu³

et al. 2017

6th Workshop on Child Computer Interaction (WOCCI 2017)

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This paper presents Figurines, an offline framework for narrative creation with tangible objects, designed to record storytelling sessions with children, teenagers or adults. This framework uses tangible diegetic objects to record a free narrative from up to two storytellers and construct a fully annotated representation of the story. This representation is composed of the 3D position and orientation of the figurines, the position of decor elements and interpretation of the storytellers' actions (facial expression, gestures and voice). While maintaining the playful dimension of the storytelling session, the system must tackle the challenge of recovering the free-form motion of the figurines and the storytellers in uncontrolled environments. To do so, we record the storytelling session using a hybrid setup with two RGB-D sensors and figurines augmented with IMU sensors. The first RGB-D sensor completes IMU information in order to identify figurines and tracks them as well as decor elements. It also tracks the storytellers jointly with the second RGB-D sensor. The framework has been used to record preliminary experiments to validate interest of our approach. These experiments evaluate figurine following and combination of motion and storyteller's voice, gesture and facial expressions. In a make-believe game, this story representation was re-targeted on virtual characters to produce an animated version of the story. The final goal of the Figurines framework is to enhance our understanding of the creative processes at work during immersive storytelling.

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“…As mentioned, these problems are common in engineering and graphics [Bendsoe and Sigmund 2003;Bickel et al 2010;Kou et al 2012;Skouras et al 2013;Chen et al 2013;Xu et al 2014]. We can broadly partition the space of approaches for optimizing FEM simulation into two categories.…”

Section: Related Workmentioning

confidence: 99%

Data-driven finite elements for geometry and material design

Chen¹,

Levin

Sueda

et al. 2015

ACM Trans. Graph.

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Figure 1: Examples produced by our data-driven finite element method. Left: A bar with heterogeneous material arrangement is simulated 15x faster than its high-resolution counterpart. Left-Center: Our fast coarsening algorithm dramatically accelerates designing this shoe sole (up to 43x). Right-Center: A comparison to 3D printed results. Right: We repair a flimsy bridge by adding a supporting arch (8.1x) speed-up. We show a High-Res Simulation for comparison. AbstractCrafting the behavior of a deformable object is difficult-whether it is a biomechanically accurate character model or a new multimaterial 3D printable design. Getting it right requires constant iteration, performed either manually or driven by an automated system. Unfortunately, previous algorithms for accelerating three-dimensional finite element analysis of elastic objects suffer from expensive precomputation stages that rely on a priori knowledge of the object's geometry and material composition. In this paper we introduce Data-Driven Finite Elements as a solution to this problem. Given a material palette, our method constructs a metamaterial library which is reusable for subsequent simulations, regardless of object geometry and/or material composition. At runtime, we perform fast coarsening of a simulation mesh using a simple table lookup to select the appropriate metamaterial model for the coarsened elements. When the object's material distribution or geometry changes, we do not need to update the metamaterial library-we simply need to update the metamaterial assignments to the coarsened elements. An important advantage of our approach is that it is applicable to non-linear material models. This is important for designing objects that undergo finite deformation (such as those produced by multimaterial 3D printing). Our method yields speed gains of up to two orders of magnitude while maintaining good accuracy. We demonstrate the effectiveness of the method on both virtual and 3D printed examples in order to show its utility as a tool for deformable object design.

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Computational design of actuated deformable characters

Cited by 157 publications

References 34 publications

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Figurines, a multimodal framework for tangible storytelling

Data-driven finite elements for geometry and material design

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