{"title":"基于人工免疫网络的两足仿人机器人步态规划方法","authors":"Yi Luo, Zongze Wu, Sheng Bi, Yuheng Zhang, Q. Zheng, Quanyong Huang","doi":"10.1109/ICMLC.2014.7009131","DOIUrl":null,"url":null,"abstract":"A biped humanoid robot model with 12 degree of freedom is developed in this paper. To facilitate the gait pattern planning, the 3D inverted pendulum model and the ZMP are introduced to enable a human-like stable walking. Since the searching of best walk primitive is a multi-objective optimization problem, a modified aiNet Algorithm as well as SGA Algorithm is applied to the optimization process. Finally, the control parameters worked out by both algorithms are verified and compared in simulation. We find out that the result of aiNet provides the robot with better stability than SGA while they are similar in mobility.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A biped humanoid robot's gait planning method based on Artificial Immune Network\",\"authors\":\"Yi Luo, Zongze Wu, Sheng Bi, Yuheng Zhang, Q. Zheng, Quanyong Huang\",\"doi\":\"10.1109/ICMLC.2014.7009131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A biped humanoid robot model with 12 degree of freedom is developed in this paper. To facilitate the gait pattern planning, the 3D inverted pendulum model and the ZMP are introduced to enable a human-like stable walking. Since the searching of best walk primitive is a multi-objective optimization problem, a modified aiNet Algorithm as well as SGA Algorithm is applied to the optimization process. Finally, the control parameters worked out by both algorithms are verified and compared in simulation. We find out that the result of aiNet provides the robot with better stability than SGA while they are similar in mobility.\",\"PeriodicalId\":335296,\"journal\":{\"name\":\"2014 International Conference on Machine Learning and Cybernetics\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2014.7009131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2014.7009131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A biped humanoid robot's gait planning method based on Artificial Immune Network
A biped humanoid robot model with 12 degree of freedom is developed in this paper. To facilitate the gait pattern planning, the 3D inverted pendulum model and the ZMP are introduced to enable a human-like stable walking. Since the searching of best walk primitive is a multi-objective optimization problem, a modified aiNet Algorithm as well as SGA Algorithm is applied to the optimization process. Finally, the control parameters worked out by both algorithms are verified and compared in simulation. We find out that the result of aiNet provides the robot with better stability than SGA while they are similar in mobility.
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