{"title":"Design and configuration switching analysis of a novel 3−P⌢RPS reconfigurable parallel mechanism","authors":"Yili Kuang , Haibo Qu , Xiao Li , Sheng Guo","doi":"10.1016/j.mechmachtheory.2025.105927","DOIUrl":null,"url":null,"abstract":"<div><div>This paper designed a novel 6-degree-of-freedom reconfigurable parallel mechanism with three configurations based on an origami-inspired base. The reconfigurable base serves as the foundation for connecting a parallel mechanism to form an adaptable and versatile robotic system. Firstly, kinematic performance of the mechanism is analyzed in different configurations, including position and velocity, reachable workspace, and singularity. To investigate the mechanism's configuration switching, we proposed a generative trajectory planning method incorporating an acceleration function. The method is capable of rapidly generating the trajectory of the mechanism with given initial and end positional points and effectively avoiding the singularities. Finally, to quantify reconfigurability performance of the mechanism, a reconfigurability index (RI) derived from foldability is proposed. The mechanism's reconfigurability is analyzed for different position/orientation points with the given initial orientation or position, respectively. The generative trajectory planning method proposed in this paper can be used for intelligent control of the mechanism. The reconfigurability index can be used as an important basis for actuation optimization and performance analysis of reconfigurable mechanisms.</div></div>","PeriodicalId":49845,"journal":{"name":"Mechanism and Machine Theory","volume":"206 ","pages":"Article 105927"},"PeriodicalIF":4.5000,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanism and Machine Theory","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0094114X25000163","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This paper designed a novel 6-degree-of-freedom reconfigurable parallel mechanism with three configurations based on an origami-inspired base. The reconfigurable base serves as the foundation for connecting a parallel mechanism to form an adaptable and versatile robotic system. Firstly, kinematic performance of the mechanism is analyzed in different configurations, including position and velocity, reachable workspace, and singularity. To investigate the mechanism's configuration switching, we proposed a generative trajectory planning method incorporating an acceleration function. The method is capable of rapidly generating the trajectory of the mechanism with given initial and end positional points and effectively avoiding the singularities. Finally, to quantify reconfigurability performance of the mechanism, a reconfigurability index (RI) derived from foldability is proposed. The mechanism's reconfigurability is analyzed for different position/orientation points with the given initial orientation or position, respectively. The generative trajectory planning method proposed in this paper can be used for intelligent control of the mechanism. The reconfigurability index can be used as an important basis for actuation optimization and performance analysis of reconfigurable mechanisms.
期刊介绍:
Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.
The main topics are:
Design Theory and Methodology;
Haptics and Human-Machine-Interfaces;
Robotics, Mechatronics and Micro-Machines;
Mechanisms, Mechanical Transmissions and Machines;
Kinematics, Dynamics, and Control of Mechanical Systems;
Applications to Bioengineering and Molecular Chemistry