{"title":"从梯形到多项式:下一代节能机器人轨迹","authors":"Sarmad Riazi, Kristofer Bengtsson, B. Lennartson","doi":"10.1109/COASE.2017.8256265","DOIUrl":null,"url":null,"abstract":"This paper evaluates some techniques for generating robot trajectories including state of the art energy-efficient trajectories, as well as more traditional trapezoidal velocity profiles used in today's robot traditional trajectory planning. In our recent publications we have demonstrated that it is possible to convert the existing velocity profiles of KUKA robots to energy-efficient ones, with impressive results in reducing energy consumption and peak-power. In this paper we give more in-depth insight as to how the proposed velocity profiles compare with their trapezoidal or polynomial counter-parts.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"From trapezoid to polynomial: Next-generation energy-efficient robot trajectories\",\"authors\":\"Sarmad Riazi, Kristofer Bengtsson, B. Lennartson\",\"doi\":\"10.1109/COASE.2017.8256265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper evaluates some techniques for generating robot trajectories including state of the art energy-efficient trajectories, as well as more traditional trapezoidal velocity profiles used in today's robot traditional trajectory planning. In our recent publications we have demonstrated that it is possible to convert the existing velocity profiles of KUKA robots to energy-efficient ones, with impressive results in reducing energy consumption and peak-power. In this paper we give more in-depth insight as to how the proposed velocity profiles compare with their trapezoidal or polynomial counter-parts.\",\"PeriodicalId\":445441,\"journal\":{\"name\":\"2017 13th IEEE Conference on Automation Science and Engineering (CASE)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th IEEE Conference on Automation Science and Engineering (CASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COASE.2017.8256265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COASE.2017.8256265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
From trapezoid to polynomial: Next-generation energy-efficient robot trajectories
This paper evaluates some techniques for generating robot trajectories including state of the art energy-efficient trajectories, as well as more traditional trapezoidal velocity profiles used in today's robot traditional trajectory planning. In our recent publications we have demonstrated that it is possible to convert the existing velocity profiles of KUKA robots to energy-efficient ones, with impressive results in reducing energy consumption and peak-power. In this paper we give more in-depth insight as to how the proposed velocity profiles compare with their trapezoidal or polynomial counter-parts.