{"title":"处理共同目标的多机器人系统的最优任务分配","authors":"Y. Song, J.N. Anderson","doi":"10.1109/SSST.1992.712276","DOIUrl":null,"url":null,"abstract":"One of the most important issues in a multi-robot system working on a common object is task distribution among the robots. By extending the recent work described in [8], this paper presents a strategy that achieves optimal task distribution. The algorithm is obtained by solving a constrained optimization problem and ensures the force constraints for fine manipulation.","PeriodicalId":359363,"journal":{"name":"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Task Distribution in a Multi-Robot System Handling a Common Object\",\"authors\":\"Y. Song, J.N. Anderson\",\"doi\":\"10.1109/SSST.1992.712276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most important issues in a multi-robot system working on a common object is task distribution among the robots. By extending the recent work described in [8], this paper presents a strategy that achieves optimal task distribution. The algorithm is obtained by solving a constrained optimization problem and ensures the force constraints for fine manipulation.\",\"PeriodicalId\":359363,\"journal\":{\"name\":\"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.1992.712276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1992.712276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Task Distribution in a Multi-Robot System Handling a Common Object
One of the most important issues in a multi-robot system working on a common object is task distribution among the robots. By extending the recent work described in [8], this paper presents a strategy that achieves optimal task distribution. The algorithm is obtained by solving a constrained optimization problem and ensures the force constraints for fine manipulation.