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Yizhonc Zhang

dblp:209/6076 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › soft robotics
soft robot design
0.312017
Computational design and fabrication of soft pneumatic objects with desired deformations · ACM Trans. Graph. 2017

Methods — techniques the papers use, named apart from their topics

material distribution optimization · 0.3chamber layout optimization · 0.33d printing · 0.3
YearPublicationVenuePosition
2017 Computational design and fabrication of soft pneumatic objects with desired deformations
abstract
We present an end-to-end solution for design and fabrication of soft pneumatic objects with desired deformations. Given a 3D object with its rest and deformed target shapes, our method automatically optimizes the chamber structure and material distribution inside the object volume so that the fabricated object can deform to all the target deformed poses with controlled air injection. To this end, our method models the object volume with a set of chambers separated by material shells. Each chamber has individual channels connected to the object surface and thus can be separately controlled with a pneumatic system, while the shell is comprised of base material with an embedded frame structure. A two-step algorithm is developed to compute the geometric layout of the chambers and frame structure as well as the material properties of the frame structure from the input. The design results can be fabricated with 3D printing and deformed by a controlled pneumatic system. We validate and demonstrate the efficacy of our method with soft pneumatic objects that have different shapes and deformation behaviors.
Li-Ke Ma, Yizhonc Zhang, Yang Liu 0014, Kun Zhou 0001, Xin Tong 0001
ACM Trans. Graph.2