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RISUsing a Point-Line-Plane Representation for Unified Simulation of Planar and Spherical Mechanisms
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a geometric constraints driven approach to unified kinematic simulation of n-bar planar and spherical linkage mechanisms consisting of both revolute and prismatic joints. Generalized constraint equations ...
An Invariant Representation of Coupler Curves Using a Variational AutoEncoder: Application to Path Synthesis of Four-Bar Mechanisms
Publisher: The American Society of Mechanical Engineers (ASME)
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 ...
A Machine Learning Approach to Kinematic Synthesis of Defect-Free Planar Four-Bar Linkages
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Synthesizing circuit-, branch-, or order-defects-free planar four-bar mechanism for the motion generation problem has proven to be a difficult problem. These defects render synthesized mechanisms useless to machine designers. ...
Machine Learning-Driven Individualized Gait Rehabilitation: Classification, Prediction, and Mechanism Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a machine learning-based approach toward designing individually targeted rehabilitation devices. This approach consists of a classification model for early detection of a disease, regression, and ...
An Image-Based Approach to Variational Path Synthesis of Linkages
Publisher: The American Society of Mechanical Engineers (ASME)
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 ...
Deep Learning-Driven Design of Robot Mechanisms
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, we discuss the convergence of recent advances in deep neural networks (DNNs) with the design of robotic mechanisms, which entails the conceptualization of the design problem as a learning problem from the ...
Transforming Hand-Drawn Sketches of Linkage Mechanisms Into Their Digital Representation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper introduces a new method using deep neural networks for the interactive digital transformation and simulation of n-bar planar linkages, which consist of revolute and prismatic joints, based on hand-drawn sketches. ...
A Unified Real-Time Motion Generation Algorithm for Approximate Position Analysis of Planar N-Bar Mechanisms
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a novel real-time kinematic simulation algorithm for planar N-bar linkage mechanisms, both single- and multi-degrees-of-freedom, comprising revolute and/or prismatic joints and actuators. A key feature ...
Point-Based Models: A Unified Approach for Geometric Constraint Analysis of Planar n-Bar Mechanisms With Rotary, Sliding, and Rolling Joints
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Kinematic simulation of planar n-bar mechanisms has been an intense topic of study for several decades now. However, a large majority of efforts have focused on position analysis of such mechanisms with limited links and ...
Deep Learning Conceptual Design of Sit-to-Stand Parallel Motion Six-Bar Mechanisms
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The sit-to-stand (STS) motion is a crucial activity in the daily lives of individuals, and its impairment can significantly impact independence and mobility, particularly among disabled individuals. Addressing this challenge ...