{"title":"多关节机器人系统的自动轨迹生成","authors":"E. Freund, D. Rokossa","doi":"10.1109/IECON.1998.724065","DOIUrl":null,"url":null,"abstract":"This paper presents a new approach to an automatic trajectory generation in multi-joint robot systems. The developed method consists of two parts. During the off-line part a 3D-trajectory-net inside the robot's workspace is generated under consideration of the fixed obstacles of the environment. By testing the robot's motion along this net a set of trajectory segments defining safe TCP locations is computed. The second part, the on-line part, derives a trajectory-graph from these off-line generated segments. Considering the current position of the robot in its environment and the state of possible nonfixed obstacles a sequence of trajectory segments is computed to realize a desired task. By using this method for the generation of necessary trajectories the time for the teach-in programming is drastically reduced.","PeriodicalId":377136,"journal":{"name":"IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatic trajectory generation for multi-joint robot system\",\"authors\":\"E. Freund, D. Rokossa\",\"doi\":\"10.1109/IECON.1998.724065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new approach to an automatic trajectory generation in multi-joint robot systems. The developed method consists of two parts. During the off-line part a 3D-trajectory-net inside the robot's workspace is generated under consideration of the fixed obstacles of the environment. By testing the robot's motion along this net a set of trajectory segments defining safe TCP locations is computed. The second part, the on-line part, derives a trajectory-graph from these off-line generated segments. Considering the current position of the robot in its environment and the state of possible nonfixed obstacles a sequence of trajectory segments is computed to realize a desired task. By using this method for the generation of necessary trajectories the time for the teach-in programming is drastically reduced.\",\"PeriodicalId\":377136,\"journal\":{\"name\":\"IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.1998.724065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1998.724065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic trajectory generation for multi-joint robot system
This paper presents a new approach to an automatic trajectory generation in multi-joint robot systems. The developed method consists of two parts. During the off-line part a 3D-trajectory-net inside the robot's workspace is generated under consideration of the fixed obstacles of the environment. By testing the robot's motion along this net a set of trajectory segments defining safe TCP locations is computed. The second part, the on-line part, derives a trajectory-graph from these off-line generated segments. Considering the current position of the robot in its environment and the state of possible nonfixed obstacles a sequence of trajectory segments is computed to realize a desired task. By using this method for the generation of necessary trajectories the time for the teach-in programming is drastically reduced.