Likelihood-Constrained Coupled Space Learning for Motion Synthesis

Author(s):  
Guiyu Xia ◽  
Peng Xue ◽  
Du Zhang ◽  
Qingshan Liu
Keyword(s):  
2005 ◽  
Author(s):  
David A. Forsyth ◽  
Okan Arikan ◽  
Leslie Ikemoto ◽  
James O'Brien ◽  
Deva Ramanan

2009 ◽  
Vol 20 (2-3) ◽  
pp. 225-235 ◽  
Author(s):  
Zhang Liang ◽  
Jun Xiao ◽  
Yueting Zhuang ◽  
Cheng Chen

Author(s):  
D. M. Tsay ◽  
C. O. Huey

Abstract The application of spline functions to the general synthesis of cam motion programs is presented. The approach provides a single, systematic, easily automated method of accommodating discrete constraints on follower displacements, velocities, and accelerations, even when the set of constraints becomes large. It also allows the designer to develop refined motion characteristics while still satisfying the discrete constraints. A series of examples is presented to illustrate application of the method and to compare it to the more traditional techniques.


Author(s):  
Weibin Liu ◽  
Xingqi Liu ◽  
Weiwei Xing ◽  
Baozong Yuan
Keyword(s):  

Author(s):  
Pierre M. Larochelle

In this paper we present a novel dyad dimensional synthesis technique for approximate motion synthesis. The methodology utilizes an analytic representation of the dyad’s constraint manifold that is parameterized by its dimensional synthesis variables. Nonlinear optimization techniques are then employed to minimize the distance from the dyad’s constraint manifold to a finite number of desired locations of the workpiece. The result is an approximate motion dimensional synthesis technique that is applicable to planar, spherical, and spatial dyads. Here, we specifically address the planar RR, spherical RR and spatial CC dyads since these are often found in the kinematic structure of robotic systems and mechanisms. These dyads may be combined serially to form a complex open chain (e.g. a robot) or when connected back to the fixed link they may be joined so as to form one or more closed chains (e.g. a linkage, a parallel mechanism, or a platform). Finally, we present some initial numerical design case studies that demonstrate the utility of the synthesis technique.


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