Unified Motion Synthesis of Spatial Seven-Bar Platform Mechanisms\x0band Planar-Four Bar Mechanisms

2021 ◽  
Author(s):  
Shashank Sharma ◽  
Anurag Purwar
Keyword(s):  
Motion Synthesis

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis

2005 ◽  
Author(s):  
David A. Forsyth ◽  
Okan Arikan ◽  
Leslie Ikemoto ◽  
James O'Brien ◽  
Deva Ramanan
Keyword(s):  
Human Motion ◽  
Computational Studies ◽  
Motion Synthesis

Competitive motion synthesis based on hybrid control

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

Cam Motion Synthesis Using Spline Functions: Part I — Basic Theory and Elementary Applications

1987 ◽  
Author(s):  
D. M. Tsay ◽  
C. O. Huey
Keyword(s):  
Basic Theory ◽  
Spline Functions ◽  
Motion Synthesis ◽  
Automated Method ◽  
Motion Characteristics ◽  
General Synthesis

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.

Study on semantic control in motion synthesis

2010 ◽  
Author(s):  
Weibin Liu ◽  
Xingqi Liu ◽  
Weiwei Xing ◽  
Baozong Yuan
Keyword(s):  
Motion Synthesis

Approximate Motion Synthesis of Open and Closed Chains via Parametric Constraint Manifold Fitting: Preliminary Results

2003 ◽  
Author(s):  
Pierre M. Larochelle
Keyword(s):  
Optimization Techniques ◽  
Robotic Systems ◽  
Dimensional Synthesis ◽  
Motion Synthesis ◽  
Open Chain ◽  
Constraint Manifold ◽  
Synthesis Technique ◽  
Numerical Design ◽  
Design Case ◽  
Parametric Constraint

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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