@inproceedings{9e9a99ae3f324183a4f48d3ee0583f64,
title = "Two-degree-of-freedom mechanisms design based on parasitic motion maximization",
abstract = "Parasitic motion is widely considered as an important generic property of mechanisms, which is always believed as a drawback of lower mobility parallel mechanisms. Many researchers have tried to remove or reduce the parasitic motion by optimization or designing new structural layouts. However, in some applications, the parasitic motion can enable lower degree-of-freedom (DoF) mechanisms to complete a higher DoF motion task. In this paper, a new method is proposed to utilize the parasitic motion. By the example of a five-bar mechanism and a two-link mechanism, the optimization method is used to maximize the parasitic motion so that the mechanisms can manipulate objects with a large orientation range. This optimization based mechanism design concept will lead to lower cost, lower complexity of kinematics and control.",
keywords = "Mechanism design, Optimization, Parasitic motion",
author = "Zhenyang Zhuo and Yunjiang Lou and Bin Liao and Mingliang Wang",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 10th International Conference on Intelligent Robotics and Applications, ICIRA 2017 ; Conference date: 16-08-2017 Through 18-08-2017",
year = "2017",
doi = "10.1007/978-3-319-65292-4\_22",
language = "英语",
isbn = "9783319652917",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "250--260",
editor = "YongAn Huang and Hao Wu and Zhouping Yin and Honghai Liu",
booktitle = "Intelligent Robotics and Applications - 10th International Conference, ICIRA 2017, Proceedings",
address = "德国",
}