{"title":"基于模糊逻辑的机械臂避障路径规划策略","authors":"Yanjie Chen, Yaonan Wang, Xiao Yu","doi":"10.1109/ICARCV.2012.6485438","DOIUrl":null,"url":null,"abstract":"In this paper, a novel path planning strategy based on fuzzy logic for a robot arm with a fixed pedestal is proposed, and the simulation environment conditions in which the robot arm works are specific and unpredictable. First, considering a simple working platform set in front of the robot arm system, it will become an obstacle when robot is working. Second, an obstacle avoidance path planning strategy is designed and the coordinates of robot arm end are used to achieve close-loop control. In addition, fuzzy control theory is applied to design a fuzzy path planning controller, and a dangerous sign is introduced to avoid obstacle. Finally, the experiments simulated on a two-joint robot arm with a fixed pedestal is given. The results show the feasibility and safety of the proposed path planning strategy.","PeriodicalId":441236,"journal":{"name":"2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Obstacle avoidance path planning strategy for robot arm based on fuzzy logic\",\"authors\":\"Yanjie Chen, Yaonan Wang, Xiao Yu\",\"doi\":\"10.1109/ICARCV.2012.6485438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel path planning strategy based on fuzzy logic for a robot arm with a fixed pedestal is proposed, and the simulation environment conditions in which the robot arm works are specific and unpredictable. First, considering a simple working platform set in front of the robot arm system, it will become an obstacle when robot is working. Second, an obstacle avoidance path planning strategy is designed and the coordinates of robot arm end are used to achieve close-loop control. In addition, fuzzy control theory is applied to design a fuzzy path planning controller, and a dangerous sign is introduced to avoid obstacle. Finally, the experiments simulated on a two-joint robot arm with a fixed pedestal is given. The results show the feasibility and safety of the proposed path planning strategy.\",\"PeriodicalId\":441236,\"journal\":{\"name\":\"2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICARCV.2012.6485438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARCV.2012.6485438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Obstacle avoidance path planning strategy for robot arm based on fuzzy logic
In this paper, a novel path planning strategy based on fuzzy logic for a robot arm with a fixed pedestal is proposed, and the simulation environment conditions in which the robot arm works are specific and unpredictable. First, considering a simple working platform set in front of the robot arm system, it will become an obstacle when robot is working. Second, an obstacle avoidance path planning strategy is designed and the coordinates of robot arm end are used to achieve close-loop control. In addition, fuzzy control theory is applied to design a fuzzy path planning controller, and a dangerous sign is introduced to avoid obstacle. Finally, the experiments simulated on a two-joint robot arm with a fixed pedestal is given. The results show the feasibility and safety of the proposed path planning strategy.