H. Kawasaki, Tetuya Mouri, S. Ueki, Toshitake Yanagawa, Haruo Nagayama
{"title":"任务空间中机器人障碍物接触力和位置的估计","authors":"H. Kawasaki, Tetuya Mouri, S. Ueki, Toshitake Yanagawa, Haruo Nagayama","doi":"10.1145/3388218.3388219","DOIUrl":null,"url":null,"abstract":"This paper presents a disturbance observer for robots that can estimate obstacle contact force and position in relation to the environment. The disturbance observer operates in task space, eliminating the need to measure accelerations. The global exponential convergence of the estimated disturbances to the true values was proven based on Lyapunov's theory. An experiment using a tree-pruning robot which has the possibility of colliding with tree branches is presented to show the effectiveness of the proposed disturbance observer.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of Obstacle Contact Force and Position for Robots in Task Space\",\"authors\":\"H. Kawasaki, Tetuya Mouri, S. Ueki, Toshitake Yanagawa, Haruo Nagayama\",\"doi\":\"10.1145/3388218.3388219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a disturbance observer for robots that can estimate obstacle contact force and position in relation to the environment. The disturbance observer operates in task space, eliminating the need to measure accelerations. The global exponential convergence of the estimated disturbances to the true values was proven based on Lyapunov's theory. An experiment using a tree-pruning robot which has the possibility of colliding with tree branches is presented to show the effectiveness of the proposed disturbance observer.\",\"PeriodicalId\":345276,\"journal\":{\"name\":\"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3388218.3388219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3388218.3388219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of Obstacle Contact Force and Position for Robots in Task Space
This paper presents a disturbance observer for robots that can estimate obstacle contact force and position in relation to the environment. The disturbance observer operates in task space, eliminating the need to measure accelerations. The global exponential convergence of the estimated disturbances to the true values was proven based on Lyapunov's theory. An experiment using a tree-pruning robot which has the possibility of colliding with tree branches is presented to show the effectiveness of the proposed disturbance observer.