International Journal of Robotics & Automation最新文献

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DATA-EFFICIENT DEEP REINFORCEMENT LEARNING WITH CONVOLUTION-BASED STATE ENCODER NETWORKS 基于卷积的状态编码器网络的数据高效深度强化学习
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/j.2021.206-0763
Qiang Fang, Xin Xu, Yixing Lan, Yichuan Zhang, Yujun Zeng, Tao Tang
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引用次数: 0
AN IMPROVED BOOSTING-BIPLS MODELS BASED ON WEIGHT ADJUSTMENT FOR SOIL HEAVY METAL CONTENT PREDICTION 基于权重调整的改进boost - bipls模型用于土壤重金属含量预测
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0615
Ren Dong, Shen Jun, Shu-feng Ren, Mayumi Kai, Yang Xinting
{"title":"AN IMPROVED BOOSTING-BIPLS MODELS BASED ON WEIGHT ADJUSTMENT FOR SOIL HEAVY METAL CONTENT PREDICTION","authors":"Ren Dong, Shen Jun, Shu-feng Ren, Mayumi Kai, Yang Xinting","doi":"10.2316/J.2021.206-0615","DOIUrl":"https://doi.org/10.2316/J.2021.206-0615","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"38 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78093026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A FUSION MEASUREMENT METHOD FOR NANO-DISPLACEMENT BASED ON KALMAN FILTER AND NEURAL NETWORK 基于卡尔曼滤波和神经网络的纳米位移融合测量方法
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/j.2021.206-0421
{"title":"A FUSION MEASUREMENT METHOD FOR NANO-DISPLACEMENT BASED ON KALMAN FILTER AND NEURAL NETWORK","authors":"","doi":"10.2316/j.2021.206-0421","DOIUrl":"https://doi.org/10.2316/j.2021.206-0421","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68648919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
RELIABILITY EVALUATION OF BRIDGES THE RESPONSE SURFACE METHOD AND THE BAYESIAN MODIFICATION METHOD 基于响应面法和贝叶斯修正法的桥梁可靠性评估
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0540
Lei Fu, Li Xiang, Bojian Xu, Jiakuan Shi
{"title":"RELIABILITY EVALUATION OF BRIDGES THE RESPONSE SURFACE METHOD AND THE BAYESIAN MODIFICATION METHOD","authors":"Lei Fu, Li Xiang, Bojian Xu, Jiakuan Shi","doi":"10.2316/J.2021.206-0540","DOIUrl":"https://doi.org/10.2316/J.2021.206-0540","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"3 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90302547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
OBSTACLE AVOIDANCE FOR MULTI-UAV SYSTEM WITH OPTIMIZED ARTIFICIAL POTENTIAL FIELD ALGORITHM 基于优化人工势场算法的多无人机系统避障
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0610
Yuehao Yan, Zhiying Lv, Jinbiao Yuan, Shufeng Zhang
{"title":"OBSTACLE AVOIDANCE FOR MULTI-UAV SYSTEM WITH OPTIMIZED ARTIFICIAL POTENTIAL FIELD ALGORITHM","authors":"Yuehao Yan, Zhiying Lv, Jinbiao Yuan, Shufeng Zhang","doi":"10.2316/J.2021.206-0610","DOIUrl":"https://doi.org/10.2316/J.2021.206-0610","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"97 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85900555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A STRESS DAMAGE ASSESSMENT METHOD OF STEEL BARS IN CONCRETE STRUCTURES BASED ON MMM 基于MMM的混凝土结构钢筋应力损伤评估方法
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0542
Lei Liu, Qi-Wei Xia, Ya Li, Y. Qu
{"title":"A STRESS DAMAGE ASSESSMENT METHOD OF STEEL BARS IN CONCRETE STRUCTURES BASED ON MMM","authors":"Lei Liu, Qi-Wei Xia, Ya Li, Y. Qu","doi":"10.2316/J.2021.206-0542","DOIUrl":"https://doi.org/10.2316/J.2021.206-0542","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"2 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90490351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
RAPID SELECTING UAVs FOR COMBAT BASED ON THREE-WAY MULTIPLE ATTRIBUTE DECISION 基于三向多属性决策的无人机作战快速选择
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0605
Yuehao Yan, Zhiying Lv, Ping Huang, Jinbiao Yuan, Hao-cheng Long
{"title":"RAPID SELECTING UAVs FOR COMBAT BASED ON THREE-WAY MULTIPLE ATTRIBUTE DECISION","authors":"Yuehao Yan, Zhiying Lv, Ping Huang, Jinbiao Yuan, Hao-cheng Long","doi":"10.2316/J.2021.206-0605","DOIUrl":"https://doi.org/10.2316/J.2021.206-0605","url":null,"abstract":"Unmanned aerial vehicles (UAVs) can carry out more and more dangerous missions and strike deep in the skies over hostile military sites. Thus, selecting appropriate UAVs to attend combat through rapid assessment is a hot topic in current research. In consideration of formulating practical evaluation as a three-way multiple attribute decision making (MADM) problem, a comprehensive assessment method based on interval-valued intuitionistic fuzzy set (IVIFs) is introduced under the context of determining the precision combat mission. First, the critical attributes of the UAV combat effectiveness are determined according to battlefield intelligence. Second, the attribute weights are computed by exploring the feature information of attribute orders given by experts. Third, the conditional probto collect more information to reach decision conclusions. It is a new research to combine a three-way decision algorithm and multiple attribute decision making (MADM) [13]\u0085[17] in recent years. This hybrid method can consider both the MADM matrix and di erent loss functions for individual UAVs. In the application of decision, it is di cult for experts to give an accurate assessment with exact numbers due to the complexity of the battle. The de“nition of the intuitionistic fuzzy set (IFs) as an extension of the fuzzy number [18]\u0085[20] was proposed by Atanassov, in which both membership and non-membership degrees were introduced. As a further extension of IFs, Atanassov and Gargov proposed the concept of interval-valued intuitionistic fuzzy set (IVIFs) [21]\u0085[29]. It is clear that IVIFs enables experts to give preference judgments on UAV performance through interval-valued membership degrees to reduce errors. In this paper, the UAV evaluation method is given as a three-way MADM problem with IVIFs. First, a general attribute framework is constructed by discussing the in”uence factors on UAV performance and the battle information, and a method to determine the weight of attribute is given based on the superiority index of attribute. Second, IVIFs is used for the subjective judgment of the proposed method, and the conditional probability that the UAV can be selected is calculated based on MADM. Third, the classi“cation of UAVs is obtained combined with the given loss functions of individual UAVs. Finally, a numerical example further illustrates the e ectiveness and advantage of the proposed method. This paper is the “rst attempt to study the selection of UAVs based on the three-way MADM under the IVIFs environment. The other sections are set out as follows. Section 2 proposes the evaluation system of UAVs combat e ectiveness. In Section 3, we brie”y describe the proposed UAVs evaluation model based on a new three-way MADM method with IVIFs. A case study about the UAV selection in a battle shows the applicability and power of the introduced methodology in Section 4. Finally, concluding remarks and future directions are presented in Section 5. 2. Evaluation System of Unm","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68649036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CLUSTERING ROUTING PROTOCOL BASED ON GAME THEORY IN WIRELESS SENSOR NETWORKS 基于博弈论的无线传感器网络聚类路由协议
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0619
Panpan Dong, Bencan Gong, Peng-Chung Chen, Wenqiang Wu
{"title":"CLUSTERING ROUTING PROTOCOL BASED ON GAME THEORY IN WIRELESS SENSOR NETWORKS","authors":"Panpan Dong, Bencan Gong, Peng-Chung Chen, Wenqiang Wu","doi":"10.2316/J.2021.206-0619","DOIUrl":"https://doi.org/10.2316/J.2021.206-0619","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"108 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81603025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
EXPERIMENTAL RESEARCH ON ULTIMATE BEARING CAPACITY OF A COMPOSITE ARCH RING CONSIDERING SECONDARY STRESS 考虑二次应力的复合拱圈极限承载力试验研究
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0537
Junxin Wang, Weicheng Wang, Feixiong Yang, Lei Chen
{"title":"EXPERIMENTAL RESEARCH ON ULTIMATE BEARING CAPACITY OF A COMPOSITE ARCH RING CONSIDERING SECONDARY STRESS","authors":"Junxin Wang, Weicheng Wang, Feixiong Yang, Lei Chen","doi":"10.2316/J.2021.206-0537","DOIUrl":"https://doi.org/10.2316/J.2021.206-0537","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"13 1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84085254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COOPERATIVE TARGET TRACKING IN CONCENTRIC FORMATIONS 同心队形协同目标跟踪
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0586
Lili Ma
{"title":"COOPERATIVE TARGET TRACKING IN CONCENTRIC FORMATIONS","authors":"Lili Ma","doi":"10.2316/J.2021.206-0586","DOIUrl":"https://doi.org/10.2316/J.2021.206-0586","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"125 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89019960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","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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