{"title":"Convolutional Channel Features-Based Person Identification for Person Following Robots","authors":"Kenji Koide, J. Miura","doi":"10.1007/978-3-030-01370-7_15","DOIUrl":"https://doi.org/10.1007/978-3-030-01370-7_15","url":null,"abstract":"","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130243071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Abdulla, S. Junginger, Xiangyu Gu, N. Stoll, K. Thurow
{"title":"Multiple Mobile Robot Management System for Transportation Tasks in Automated Laboratories Environment","authors":"A. Abdulla, S. Junginger, Xiangyu Gu, N. Stoll, K. Thurow","doi":"10.1007/978-3-030-01370-7_20","DOIUrl":"https://doi.org/10.1007/978-3-030-01370-7_20","url":null,"abstract":"","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131132836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MILP-Based Dual-Arm Motion Planning Considering Shared Transfer Path for Pick-Up and Place","authors":"Jun Kurosu, Ayanori Yorozu, Masaki Takahashi","doi":"10.1007/978-3-030-01370-7_6","DOIUrl":"https://doi.org/10.1007/978-3-030-01370-7_6","url":null,"abstract":"","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121488752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rawan Kalawoun, S. Lengagne, F. Bouchon, Y. Mezouar
{"title":"BSplines Properties with Interval Analysis for Constraint Satisfaction Problem: Application in Robotics","authors":"Rawan Kalawoun, S. Lengagne, F. Bouchon, Y. Mezouar","doi":"10.1007/978-3-030-01370-7_39","DOIUrl":"https://doi.org/10.1007/978-3-030-01370-7_39","url":null,"abstract":"","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129255923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learning Based Industrial Bin-picking Trained with Approximate Physics Simulator","authors":"Ryo Matsumura, K. Harada, Y. Domae, Weiwei Wan","doi":"10.1007/978-3-030-01370-7_61","DOIUrl":"https://doi.org/10.1007/978-3-030-01370-7_61","url":null,"abstract":"","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122426267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inferring Capabilities by Experimentation","authors":"Ashwin Khadke, M. Veloso","doi":"10.1007/978-3-030-01370-7_69","DOIUrl":"https://doi.org/10.1007/978-3-030-01370-7_69","url":null,"abstract":"","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133430315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marco Carraro, Matteo Munaro, J. Burke, E. Menegatti
{"title":"Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks","authors":"Marco Carraro, Matteo Munaro, J. Burke, E. Menegatti","doi":"10.1007/978-3-030-01370-7_42","DOIUrl":"https://doi.org/10.1007/978-3-030-01370-7_42","url":null,"abstract":"","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121326309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"New unexpected use of display devices for self-safety guard - Display virtually seeing on \"Accidentally happening events of iron piece directly falling on human-head\" can be sensed by oneself?","authors":"Shunji Uchimura, T. Muraoka, H. Ikeda","doi":"10.1109/IAS.2017.8101806","DOIUrl":"https://doi.org/10.1109/IAS.2017.8101806","url":null,"abstract":"Someone passed by a street in the vicinity of a highlight building broken down might have caught in an unexpected big accident on site, to have caused him seriously injured. However, in rare cases, it is possible for any human to avoid big accident by taking an action of avoiding accident, perceiving the serious fear status. Responding to such status, we tried to apply an experiment of simulation using a normal-sized, flat-panel high-definition image display. Incorporating virtual reality with high definition display, as well as generating big noise of iron angle poles crashed, letting a subject to see it with feeling of fear, instantaneously we measured subject's reaction against the crushing scenes as well as big noise. Responding to the noise heard as well as big iron poles crashing seen, a resulting only 6% of subjects acknowledged valid response safely. Avoiding crisis of reaction in the subject's behavior was taken from the virtual reality of experiment as a result. Seeing the fake big accidental scene on high definition image display was striking to the function of the subject's brain sensor. This display system alarms on time the dangerous accident encountered to the subject for avoiding ultimate damages by viewing scenes if the display might be of high definition version.","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131747512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advanced diagnosis of stator faults in large induction motors based on internal flux measurement","authors":"Khalid I. Saad, G. Mirzaeva","doi":"10.1109/IAS.2016.7731931","DOIUrl":"https://doi.org/10.1109/IAS.2016.7731931","url":null,"abstract":"Most of the existing electrical techniques of condition monitoring and fault diagnosis are based on stator current and/or stray flux measurement external to the motor. In this paper we propose a new diagnosis method for rotor bar faults based on flux measurements inside the main air gap of large induction motors. Theoretical analysis is presented, of both healthy motor and a motor with a broken rotor bar. Based on this, the fault detection method is proposed, which utilizes both time and space domain analysis of the air gap flux, to achieve superior rotor fault detection at early stages. The proposed method is demonstrated by extensive simulations. The method is experimentally validated using a specially instrumented laboratory scale induction motor. The prospective applications include large induction motors used in mining machines, in which internal Hall Effect Flux Sensors (HEFS) instrumentation is both feasible and justified.","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"34 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131575099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D FieldLut Algorithm Based Indoor Localization for Planar Mobile Robots Using Kinect","authors":"Xiaoxiao Zhu, Q. Cao, Wenshan Wang","doi":"10.1007/978-3-319-48036-7_32","DOIUrl":"https://doi.org/10.1007/978-3-319-48036-7_32","url":null,"abstract":"","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114977179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}