Abstract | ||
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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 |
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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 Zhu | 1 | 110 | 10.80 |
Weiwei Xu | 2 | 875 | 50.19 |
John Snyder | 3 | 2579 | 172.17 |
Yang Liu | 4 | 1599 | 76.76 |
Guoping Wang | 5 | 488 | 63.02 |
Baining Guo | 6 | 3970 | 194.91 |