{"title":"面向抓取任务的人形机械臂运动规划","authors":"A. Rajpar, M. Keerio, A. Kawaja","doi":"10.1109/ICET.2007.4516345","DOIUrl":null,"url":null,"abstract":"A new method for computing numerical solution to the motion planning of humanoid robot arm is developed. The proposed method is based on combination of two nonlinear programming techniques. Forward recursion formula with backward cycle computation method is used to reach in the vicinity of target object and then FBS method is used to grasp object in real-time. Proposed method is numerically stable, computationally effective and it is not sensitive to singular configuration of the manipulator. Effectiveness of the proposed method is achieved through results.","PeriodicalId":346773,"journal":{"name":"2007 International Conference on Emerging Technologies","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Motion Planning of Humanoid Robot Arm for grasping task\",\"authors\":\"A. Rajpar, M. Keerio, A. Kawaja\",\"doi\":\"10.1109/ICET.2007.4516345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method for computing numerical solution to the motion planning of humanoid robot arm is developed. The proposed method is based on combination of two nonlinear programming techniques. Forward recursion formula with backward cycle computation method is used to reach in the vicinity of target object and then FBS method is used to grasp object in real-time. Proposed method is numerically stable, computationally effective and it is not sensitive to singular configuration of the manipulator. Effectiveness of the proposed method is achieved through results.\",\"PeriodicalId\":346773,\"journal\":{\"name\":\"2007 International Conference on Emerging Technologies\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Emerging Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICET.2007.4516345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2007.4516345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion Planning of Humanoid Robot Arm for grasping task
A new method for computing numerical solution to the motion planning of humanoid robot arm is developed. The proposed method is based on combination of two nonlinear programming techniques. Forward recursion formula with backward cycle computation method is used to reach in the vicinity of target object and then FBS method is used to grasp object in real-time. Proposed method is numerically stable, computationally effective and it is not sensitive to singular configuration of the manipulator. Effectiveness of the proposed method is achieved through results.