{"title":"自主移动避障机器人的研制","authors":"M. Uchida, S. Yokoyama, H. Ide","doi":"10.1109/IMTC.1994.352096","DOIUrl":null,"url":null,"abstract":"This research has addresses the realization of real-time path plan of large area obstacle avoidance based on the potential method. The reports thus far have addresses the method or generating the potential field independent of the complexity of environment and have proposed the Sensory Point Moving (SPM) method as the technique for speeding up the shift to the potential field from the environment based on a parallel algorithm. Additionally, it is possible that the present technique makes the motion plan system simple and small-scale. The present technique was applied to the path plan of a fabricated mobile robot, and its effectiveness was confirmed, which is discussed in this report.<<ETX>>","PeriodicalId":231484,"journal":{"name":"Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Development of autonomous mobile robot for obstacles avoidance\",\"authors\":\"M. Uchida, S. Yokoyama, H. Ide\",\"doi\":\"10.1109/IMTC.1994.352096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research has addresses the realization of real-time path plan of large area obstacle avoidance based on the potential method. The reports thus far have addresses the method or generating the potential field independent of the complexity of environment and have proposed the Sensory Point Moving (SPM) method as the technique for speeding up the shift to the potential field from the environment based on a parallel algorithm. Additionally, it is possible that the present technique makes the motion plan system simple and small-scale. The present technique was applied to the path plan of a fabricated mobile robot, and its effectiveness was confirmed, which is discussed in this report.<<ETX>>\",\"PeriodicalId\":231484,\"journal\":{\"name\":\"Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMTC.1994.352096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.1994.352096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of autonomous mobile robot for obstacles avoidance
This research has addresses the realization of real-time path plan of large area obstacle avoidance based on the potential method. The reports thus far have addresses the method or generating the potential field independent of the complexity of environment and have proposed the Sensory Point Moving (SPM) method as the technique for speeding up the shift to the potential field from the environment based on a parallel algorithm. Additionally, it is possible that the present technique makes the motion plan system simple and small-scale. The present technique was applied to the path plan of a fabricated mobile robot, and its effectiveness was confirmed, which is discussed in this report.<>