Yapeng Shi, Zhicheng He, Xiaokun Leng, Songhao Piao, Lining Sun
{"title":"A Unified Motion Generation Approach for Quadruped L-S Walk and Trot Gaits Based on Linear Model Predictive Control","authors":"Yapeng Shi, Zhicheng He, Xiaokun Leng, Songhao Piao, Lining Sun","doi":"10.1007/s42235-024-00533-3","DOIUrl":null,"url":null,"abstract":"<div><p>The goal of this paper is to develop a unified online motion generation scheme for quadruped lateral-sequence walk and trot gaits based on a linear model predictive control formulation. Specifically, the dynamics of the linear pendulum model is formulated over a predictive horizon by dimensional analysis. Through gait pattern conversion, the lateral-sequence walk and trot gaits of the quadruped can be regarded as unified biped gaits, allowing the dynamics of the linear inverted pendulum model to serve quadruped motion generation. In addition, a simple linearization of the center of pressure constraints for these quadruped gaits is developed for linear model predictive control problem. Furthermore, the motion generation problem can be solved online by quadratic programming with foothold adaptation. It is demonstrated that the proposed unified scheme can generate stable locomotion online for quadruped lateral-sequence walk and trot gaits, both in simulation and on hardware. The results show significant performance improvements compared to previous work. Moreover, the results also suggest the linearly simplified scheme has the ability to robustness against unexpected disturbances.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"21 4","pages":"1707 - 1719"},"PeriodicalIF":4.9000,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Bionic Engineering","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s42235-024-00533-3","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The goal of this paper is to develop a unified online motion generation scheme for quadruped lateral-sequence walk and trot gaits based on a linear model predictive control formulation. Specifically, the dynamics of the linear pendulum model is formulated over a predictive horizon by dimensional analysis. Through gait pattern conversion, the lateral-sequence walk and trot gaits of the quadruped can be regarded as unified biped gaits, allowing the dynamics of the linear inverted pendulum model to serve quadruped motion generation. In addition, a simple linearization of the center of pressure constraints for these quadruped gaits is developed for linear model predictive control problem. Furthermore, the motion generation problem can be solved online by quadratic programming with foothold adaptation. It is demonstrated that the proposed unified scheme can generate stable locomotion online for quadruped lateral-sequence walk and trot gaits, both in simulation and on hardware. The results show significant performance improvements compared to previous work. Moreover, the results also suggest the linearly simplified scheme has the ability to robustness against unexpected disturbances.
期刊介绍:
The Journal of Bionic Engineering (JBE) is a peer-reviewed journal that publishes original research papers and reviews that apply the knowledge learned from nature and biological systems to solve concrete engineering problems. The topics that JBE covers include but are not limited to:
Mechanisms, kinematical mechanics and control of animal locomotion, development of mobile robots with walking (running and crawling), swimming or flying abilities inspired by animal locomotion.
Structures, morphologies, composition and physical properties of natural and biomaterials; fabrication of new materials mimicking the properties and functions of natural and biomaterials.
Biomedical materials, artificial organs and tissue engineering for medical applications; rehabilitation equipment and devices.
Development of bioinspired computation methods and artificial intelligence for engineering applications.