{"title":"机器人坐标系上的非全局多机器人系统编队控制及其在基于激光雷达的机器人中的应用","authors":"Kazunori Sakurama;Chunlai Peng;Ryo Asai;Hirokazu Sakata;Mitsuhiro Yamazumi","doi":"10.1109/TCST.2024.3397018","DOIUrl":null,"url":null,"abstract":"This article addresses a formation control problem for nonholonomic multirobot systems in robot coordinate frames. First, the nonholonomic constraint and measurement in robot coordinate frames are modeled with the Lie group theory on the special Euclidean group, \n<inline-formula> <tex-math>${\\mathrm {SE}}_{d}$ </tex-math></inline-formula>\n. The control space under the nonholonomic constraint is defined as a subspace of the tangent space of \n<inline-formula> <tex-math>${\\mathrm {SE}}_{d}$ </tex-math></inline-formula>\n, whereas the measurement in the robot coordinate frame is given as the group action of \n<inline-formula> <tex-math>${\\mathrm {SE}}_{d}$ </tex-math></inline-formula>\n. Then, a gradient-based method is developed by using the projection of the gradient flow of an objective function onto the control space. By using the method with a clique-based objective function rather than edge-based ones, the designed formation controller is distributed and uses only measurement information in robot coordinate frames and has the best performance of the gradient-based distributed controllers. The proposed method is valid regardless of the dimension of the space, and therefore, it is applicable to not only automatic guided vehicles (AGVs) but also unmanned aerial vehicles (UAVs). Finally, the effectiveness of the method is demonstrated through simulations in 3-D space and an experiment by mobile indoor robots equipped with light detection and ranging (LiDAR).","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 6","pages":"2075-2089"},"PeriodicalIF":4.9000,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10531753","citationCount":"0","resultStr":"{\"title\":\"Formation Control of Nonholonomic Multirobot Systems Over Robot Coordinate Frames and Its Application to LiDAR-Based Robots\",\"authors\":\"Kazunori Sakurama;Chunlai Peng;Ryo Asai;Hirokazu Sakata;Mitsuhiro Yamazumi\",\"doi\":\"10.1109/TCST.2024.3397018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article addresses a formation control problem for nonholonomic multirobot systems in robot coordinate frames. First, the nonholonomic constraint and measurement in robot coordinate frames are modeled with the Lie group theory on the special Euclidean group, \\n<inline-formula> <tex-math>${\\\\mathrm {SE}}_{d}$ </tex-math></inline-formula>\\n. The control space under the nonholonomic constraint is defined as a subspace of the tangent space of \\n<inline-formula> <tex-math>${\\\\mathrm {SE}}_{d}$ </tex-math></inline-formula>\\n, whereas the measurement in the robot coordinate frame is given as the group action of \\n<inline-formula> <tex-math>${\\\\mathrm {SE}}_{d}$ </tex-math></inline-formula>\\n. Then, a gradient-based method is developed by using the projection of the gradient flow of an objective function onto the control space. By using the method with a clique-based objective function rather than edge-based ones, the designed formation controller is distributed and uses only measurement information in robot coordinate frames and has the best performance of the gradient-based distributed controllers. The proposed method is valid regardless of the dimension of the space, and therefore, it is applicable to not only automatic guided vehicles (AGVs) but also unmanned aerial vehicles (UAVs). Finally, the effectiveness of the method is demonstrated through simulations in 3-D space and an experiment by mobile indoor robots equipped with light detection and ranging (LiDAR).\",\"PeriodicalId\":13103,\"journal\":{\"name\":\"IEEE Transactions on Control Systems Technology\",\"volume\":\"32 6\",\"pages\":\"2075-2089\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10531753\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Control Systems Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10531753/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control Systems Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10531753/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Formation Control of Nonholonomic Multirobot Systems Over Robot Coordinate Frames and Its Application to LiDAR-Based Robots
This article addresses a formation control problem for nonholonomic multirobot systems in robot coordinate frames. First, the nonholonomic constraint and measurement in robot coordinate frames are modeled with the Lie group theory on the special Euclidean group,
${\mathrm {SE}}_{d}$
. The control space under the nonholonomic constraint is defined as a subspace of the tangent space of
${\mathrm {SE}}_{d}$
, whereas the measurement in the robot coordinate frame is given as the group action of
${\mathrm {SE}}_{d}$
. Then, a gradient-based method is developed by using the projection of the gradient flow of an objective function onto the control space. By using the method with a clique-based objective function rather than edge-based ones, the designed formation controller is distributed and uses only measurement information in robot coordinate frames and has the best performance of the gradient-based distributed controllers. The proposed method is valid regardless of the dimension of the space, and therefore, it is applicable to not only automatic guided vehicles (AGVs) but also unmanned aerial vehicles (UAVs). Finally, the effectiveness of the method is demonstrated through simulations in 3-D space and an experiment by mobile indoor robots equipped with light detection and ranging (LiDAR).
期刊介绍:
The IEEE Transactions on Control Systems Technology publishes high quality technical papers on technological advances in control engineering. The word technology is from the Greek technologia. The modern meaning is a scientific method to achieve a practical purpose. Control Systems Technology includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware. A primary purpose of the IEEE Transactions on Control Systems Technology is to have an archival publication which will bridge the gap between theory and practice. Papers are published in the IEEE Transactions on Control System Technology which disclose significant new knowledge, exploratory developments, or practical applications in all aspects of technology needed to implement control systems, from analysis and design through simulation, and hardware.