A Motion Synthesis Approach to Solving Alt-Burmester Problems by Exploiting Fourier Descriptor Relationship Between Path and Orientation Data

Autor: Q. Jeffrey Ge, Anurag Purwar, Shashank Sharma
Rok vydání: 2018
Předmět:
Zdroj: Volume 5B: 42nd Mechanisms and Robotics Conference.
DOI: 10.1115/detc2018-85567
Popis: This paper presents a generalized framework to solve m-pose, n-path points mixed synthesis problems, known as Alt-Burmester problems, using a task-driven motion synthesis approach. We aim to unify the path and motion synthesis problems into an approximate mixed synthesis framework. Fourier descriptors are used to establish a closed-form relationship between the path and orientation data. This relationship is then exploited to formulate mixed synthesis problems into pure motion synthesis ones. We use an efficient algebraic fitting based motion synthesis algorithm to enable simultaneous type and dimensional synthesis of planar four-bar linkages.
Databáze: OpenAIRE