... of traditional methods but also opens new avenues for mechanism design, providing a data-driven tool for exploring alternative designs and evaluating their performance in real-time. planar four-bar linkage path synthesis conditional variational autoencoder neural networks machine learning deep...

... of the input, large number of mechanism parameters, and highly non-linear relationship between the input and output. This paper introduces a neural network approach for the path synthesis of spatial RSCR mechanisms. We detail the method of database generation with the development of a simulator, data space...

... Abstract This paper focuses on the representation and synthesis of coupler curves of planar mechanisms using a deep neural network. While the path synthesis of planar mechanisms is not a new problem, the effective representation of coupler curves in the context of neural networks has not been...

... Abstract This paper brings together rigid body kinematics and machine learning to create a novel approach to path synthesis of linkage mechanisms under practical constraints, such as location of pivots. We model the coupler curve and constraints as probability distributions of image pixels...

... synthesis for path generation with prescribed timing are formed, and the method of path synthesis by using harmonic characteristic parameters is developed and further prefect is made. planar 4-bar linkage prescribed timing path synthesis Fourier theory harmonic analysis coupler rotation-angle...

... Abstract This paper brings together computer vision, mechanism synthesis, and machine learning to create an image-based variational path synthesis approach for linkage mechanisms. An image-based approach is particularly amenable to mechanism synthesis when the input from mechanism designers...

... generative models path synthesis motion synthesis planar linkage synthesis machine learning (ML) for user experience ML for managing uncertainties ML for computational creativity deep learning COMPUTATIONAL CREATIVITY VIA ASSISTED VARIATIONAL SYNTHESIS OF MECHANISMS USING DEEP GENERATIVE MODELS...

... results in a large variety of solutions to which subjective criteria can be applied to yield practically useful design concepts that would otherwise not be possible using traditional synthesis methods. machine learning variational auto-encoders gait classification gait prediction path synthesis...