{"title":"Kinematics analysis and performance optimization of a novel asymmetric parallel biped robot","authors":"Yue Zhang, Xizhe Zang, Boyang Chen, Chao Song, Liang Gao, Jie Zhao","doi":"10.1016/j.robot.2025.105003","DOIUrl":null,"url":null,"abstract":"<div><div>The asymmetric parallel mechanism offers advantages such as strong bearing capacity, flexible kinematics, and a large workspace, which conventional mechanisms cannot simultaneously achieve. However, few studies have applied it to the structural design of biped robots, resulting in a lack of a comprehensive theoretical system for analyzing the kinematic characteristics of such biped robots. This paper addresses this gap by analyzing a novel type of asymmetric parallel biped robot with common hinges and optimizing its dimensions. A method for degrees of freedom analysis based on the screw system is introduced. By combining the screw method with Lie algebra, a decoupled kinematic model is established, and the Jacobian matrix is derived. The workspace is determined using the Monte Carlo method. The distribution of singularity, the dexterity over time, and the stiffness mapping in two-dimensional space are obtained and analyzed based on the Jacobian matrix. Particle swarm optimization is employed to optimize the linkage length. Finally, the improvement of the optimized performance and the correctness of the kinematic derivation are validated by the gait experiment. This study offers valuable insights into exploring the kinematic characteristics of asymmetrical parallel mechanisms with common hinges, not only within the realm of biped robots but also in the broader field of multi-legged robots.</div></div>","PeriodicalId":49592,"journal":{"name":"Robotics and Autonomous Systems","volume":"191 ","pages":"Article 105003"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Autonomous Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921889025000892","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The asymmetric parallel mechanism offers advantages such as strong bearing capacity, flexible kinematics, and a large workspace, which conventional mechanisms cannot simultaneously achieve. However, few studies have applied it to the structural design of biped robots, resulting in a lack of a comprehensive theoretical system for analyzing the kinematic characteristics of such biped robots. This paper addresses this gap by analyzing a novel type of asymmetric parallel biped robot with common hinges and optimizing its dimensions. A method for degrees of freedom analysis based on the screw system is introduced. By combining the screw method with Lie algebra, a decoupled kinematic model is established, and the Jacobian matrix is derived. The workspace is determined using the Monte Carlo method. The distribution of singularity, the dexterity over time, and the stiffness mapping in two-dimensional space are obtained and analyzed based on the Jacobian matrix. Particle swarm optimization is employed to optimize the linkage length. Finally, the improvement of the optimized performance and the correctness of the kinematic derivation are validated by the gait experiment. This study offers valuable insights into exploring the kinematic characteristics of asymmetrical parallel mechanisms with common hinges, not only within the realm of biped robots but also in the broader field of multi-legged robots.
期刊介绍:
Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.
Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.