Title
Motion-guided mechanical toy modeling
Abstract
We introduce a new method to synthesize mechanical toys solely from the motion of their features. The designer specifies the geometry and a time-varying rotation and translation of each rigid feature component. Our algorithm automatically generates a mechanism assembly located in a box below the feature base that produces the specified motion. Parts in the assembly are selected from a parameterized set including belt-pulleys, gears, crank-sliders, quick-returns, and various cams (snail, ellipse, and double-ellipse). Positions and parameters for these parts are optimized to generate the specified motion, minimize a simple measure of complexity, and yield a well-distributed layout of parts over the driving axes. Our solution uses a special initialization procedure followed by simulated annealing to efficiently search the complex configuration space for an optimal assembly.
Year
DOI
Venue
2012
10.1145/2366145.2366146
ACM Trans. Graph.
Keywords
Field
DocType
feature base,mechanical toy,rigid feature component,complex configuration space,driving axis,optimal assembly,parameterized set,new method,mechanism assembly,specified motion,motion-guided mechanical toy modeling,simulated annealing
Simulated annealing,Mechanical toy,Computer vision,Parameterized complexity,Mathematical optimization,Computer science,Artificial intelligence,Initialization,Ellipse,Configuration space
Journal
Volume
Issue
ISSN
31
6
0730-0301
Citations 
PageRank 
References 
70
2.45
28
Authors
6
Name
Order
Citations
PageRank
Lifeng Zhu111010.80
Weiwei Xu287550.19
John Snyder32579172.17
Yang Liu4159976.76
Guoping Wang548863.02
Baining Guo63970194.91