IEEE International Workshop on Emerging Technologies and Factory Automation,最新文献

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An Efficient Algorithm For Robot Arm Dynamics Including Motor Effects 包含电机效应的机械臂动力学的有效算法
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683313
L.D. Serreviratne, H. Yu, S. Earles
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引用次数: 1
Fuzzy Robot Navigation In Unknown Environments 未知环境下的模糊机器人导航
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683327
Chia-Ju Wu
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引用次数: 6
A Proposal for a Conveyance System with Parallel Cooperative Micro Modules 一种并联协作微模块输送系统的设计
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683334
H. Fujita, S. Konishi, T. Furuhata, N. Takeshima
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引用次数: 0
Fuzzy Logic Algorithm For A Robotic Sorting System With Colour Vision 色彩视觉机器人分拣系统的模糊逻辑算法
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683331
H. T. Nguyen, Zhenwei Tao
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引用次数: 2
Is The Broom-balancer A Useful Test Case For Training Methods? 扫帚平衡器是训练方法的有用测试案例吗?
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683267
S. Geva, J. Sitte
{"title":"Is The Broom-balancer A Useful Test Case For Training Methods?","authors":"S. Geva, J. Sitte","doi":"10.1109/ETFA.1992.683267","DOIUrl":"https://doi.org/10.1109/ETFA.1992.683267","url":null,"abstract":"","PeriodicalId":154369,"journal":{"name":"IEEE International Workshop on Emerging Technologies and Factory Automation,","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129175012","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}
引用次数: 1
Methods For Fast Image Object Recognition In Robotics 机器人快速图像目标识别方法
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683330
A. Harvey, H. Cohen
{"title":"Methods For Fast Image Object Recognition In Robotics","authors":"A. Harvey, H. Cohen","doi":"10.1109/ETFA.1992.683330","DOIUrl":"https://doi.org/10.1109/ETFA.1992.683330","url":null,"abstract":"In Vision guided robotic operations, the rapid location and identification of image objects for assembly is essential. The image object data taken with a ccd camera may be in the form of a grey level, binary or colour image. This paper discusses our work on new speed up methods for object recognition in binary and grey level images. These are a coarse/fine stepping method and a sparse template technique. An extension of the coarse fine technique to give larger speedups is discussed. INTRODUCTION Searches for objects within images are extremely computationally expensive when scale, position and orientation of objects within the image is unknown. This paper reports results of a comprehensive coarse-fine object location program in which the criteria for coarse to fine switching have been investigated. These methods can speed up the column and row position search by a factor of 64. A matching error function is used to switch between coarse and fine search modes. Also a sparse template technique is used to give a further 64 fold speed up even more a for larger templates. This paper reports position search speed up times obtained on a number plate reading project. This work is of importance in vision guided assembly operations where machine vision techniques are used for locating parts and was first applied to a vehicle number plate location system. COARSE FINE COLUMN SEARCH By applying a reduced column search technique to object location in an image, a large reduction in computation may . be made. A basic approach is to move the template over the raster scan image, computing the mismatch function at each pixel location. Clearly if the matching calculations could be made at a reduced number of locations, ie a coarse search at say every fourth or fifth. pixel then a large speed up in the matching operation could be made. If a check is made by comparing the current matching error with the error calculation at the previous pixel position, then a decision can be made to move along say four or more columns, if the error is not moving towards a match. Alternatively, if the matching error is decreasing rapidly, from A to C in Fig 5, then the template pixel array will be moved along column by column after each calculation. Investigations showed that the template map may be moved along six columns for the coarse search and still find the matching position. A five to one speed up was obtained in this way. It is important to note that speedup factors are image dependent. COARSE FINE ROW SEARCH Similarly, a coarse fine (reduced) row search using a change in the image matching criterion between rows as a switch will give a speed up factor of the order of four or five to one assuming similar spatial changes in the vertical and horizontal directions of the image. This will be the case for images of uniform texture. More structured images of an industrial nature will not be so predictable. However matching error information is not as readily available in the case of t","PeriodicalId":154369,"journal":{"name":"IEEE International Workshop on Emerging Technologies and Factory Automation,","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128301946","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}
引用次数: 3
The Application Of DNC Links As A Partial Approach To Computer Integrated Manufacture. DNC链路在计算机集成制造中的部分应用。
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683230
C. Wainwright, D. Harrison, E. Gentili
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引用次数: 0
The Optimal Geometric Constraint for Trinocular Stereo Systems 三视立体系统的最优几何约束
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683342
R. Chiou, C.-H. Chen, K. Hung, J.Y. Lee
{"title":"The Optimal Geometric Constraint for Trinocular Stereo Systems","authors":"R. Chiou, C.-H. Chen, K. Hung, J.Y. Lee","doi":"10.1109/ETFA.1992.683342","DOIUrl":"https://doi.org/10.1109/ETFA.1992.683342","url":null,"abstract":"","PeriodicalId":154369,"journal":{"name":"IEEE International Workshop on Emerging Technologies and Factory Automation,","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126625330","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}
引用次数: 0
An Object-oriented Feature-based Computer-aided Design System For Concurrent Engineering 面向对象的并行工程计算机辅助设计系统
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683286
Feng-Cheng Yang, Ming-Tzong Wang
{"title":"An Object-oriented Feature-based Computer-aided Design System For Concurrent Engineering","authors":"Feng-Cheng Yang, Ming-Tzong Wang","doi":"10.1109/ETFA.1992.683286","DOIUrl":"https://doi.org/10.1109/ETFA.1992.683286","url":null,"abstract":"","PeriodicalId":154369,"journal":{"name":"IEEE International Workshop on Emerging Technologies and Factory Automation,","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134040744","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}
引用次数: 3
A Feature - Based Scheme For Reconstructing 3D Parts From 2D Orthographic Projections 一种基于特征的二维正交投影重建三维零件的方法
IEEE International Workshop on Emerging Technologies and Factory Automation, Pub Date : 1900-01-01 DOI: 10.1109/ETFA.1992.683341
Chia-Hwa Liu, Zen Chen
{"title":"A Feature - Based Scheme For Reconstructing 3D Parts From 2D Orthographic Projections","authors":"Chia-Hwa Liu, Zen Chen","doi":"10.1109/ETFA.1992.683341","DOIUrl":"https://doi.org/10.1109/ETFA.1992.683341","url":null,"abstract":"","PeriodicalId":154369,"journal":{"name":"IEEE International Workshop on Emerging Technologies and Factory Automation,","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132784600","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}
引用次数: 1
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