Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering最新文献_第8页

Design and implementation of shoes arrangement robot system for unknown environment 未知环境下排鞋机器人系统的设计与实现

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-07-01 DOI: 10.3724/sp.j.1249.2022.04472

X. Tang, Hui-Pin Huang

{"title":"Design and implementation of shoes arrangement robot system for unknown environment","authors":"X. Tang, Hui-Pin Huang","doi":"10.3724/sp.j.1249.2022.04472","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.04472","url":null,"abstract":"TANG Xiaolong and HUANG Hui College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, P. R. China Abstract: In recent years, the robot and artificial intelligence technology have developed rapidly, but there still remains a challenging problem to realize the contact operation of robot in home environment. In order to make the robot arrange shoes automatically, we design an autonomous shoes arrangement robot system based on the 3D vision. In this system, the instance segmentation network and minimum enclosing rectangle are used to recognize the shoes and their orientation, and the grasping pose and placing pose of robot are estimated accurately by means of the point cloud information of depth camera. In addition, the convolution neural network and cosine similarity are adopted to match with a pair of shoes. Afterwards, we evaluate the accuracy of shoe orientation recognition and shoe matching in the system, and then carry out a real robot arrangement experiment. The result show that this method could assure 96.2% accuracy of shoe orientation recognition, and the matching accuracy of shoes increases from 62.6% to 87.4% when the VGG16 network is added to the shoes matching algorithm. In conclusion, this method can accurately recognize the shoes and their orientation, and then match with a pair of shoes, meanwhile, improves the stability of the robot shoes arrangement.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48044693","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

Analysis on the relationship between accessibility of intercity rail transit and urban economic development 城际轨道交通可达性与城市经济发展关系分析

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03287

Mingwei Hu, W. Wu, Qian-wei Zhao, G. He

引用次数: 1

Dynamic grasping parameter estimation based on feedforward radial basis function network 基于前馈径向基函数网络的动态抓取参数估计

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03334

Jianqiang Wang, Kaiqi Huang, Jianhua Su

{"title":"Dynamic grasping parameter estimation based on feedforward radial basis function network","authors":"Jianqiang Wang, Kaiqi Huang, Jianhua Su","doi":"10.3724/sp.j.1249.2022.03334","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.03334","url":null,"abstract":"WANG Jianqiang, HUANG Kaiqi, and SU Jianhua 1) School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi Province, P. R. China 2) The State Key Laboratory for Management and Control of Complex System, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China Abstract: In this paper, we propose a motion estimation method based on a feed-forward radial basis network for grasping arbitrary moving objects. We first employ a kernel correlation filtering (KCF) algorithm to track the target position in real-time and establish the motion model of the target. Using the feed-forward radial base network, we then adjust the sampling time of the Kalman filter (KF) to predict the motion parameters of the target. Since that, we can reduce the computing time and improve the accuracy of the estimation of the motion parameters. Compared with the feed-forward perceptron network, the proposed method shortens the required time for grasping by 20%, which can avoid a failure grasp due to the arbitrary movement of the object in grasping.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43242952","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

The accessibility of urban rail stations based on the catchment area 基于集水区的城市轨道交通车站可达性

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03296

Shuhong Ma, Dachuan Tang, Xiao Li, Xingfang Sun

引用次数: 2

Analysis of the initial response pattern of Chlamydomonas reinhardtii to methyl jasmonate (MeJA) treatment 莱茵衣藻对茉莉酸甲酯（MeJA）处理的初始反应模式分析

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03237

Bin Jia, Chengxiang Lan, Xiangyu Li

引用次数: 1

Short text automatic scoring system based on BERT-BiLSTM model 基于BERT-BiLSTM模型的短文本自动评分系统

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03349

Linzhong Xia, Jianfeng Ye, Dean Luo, Mingxiang Guan, Jun Liu, Xuemei Cao

引用次数: 3

Motion planning of radioactive source grasping robot based on memory reasoning 基于记忆推理的放射源抓取机器人运动规划

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03343

W. Nan, Fumin Xu, Bosheng Ye

{"title":"Motion planning of radioactive source grasping robot based on memory reasoning","authors":"W. Nan, Fumin Xu, Bosheng Ye","doi":"10.3724/sp.j.1249.2022.03343","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.03343","url":null,"abstract":"NAN Wenhu,XU Fumin,and YE Bosheng 1) School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu Province, P. R. China 2) The National CNC Engineering Center, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, P. R. China Abstract: Aiming at the problem that machine vision is difficult to be applied to the radioactive source grasping due to the semi-closed and strong radiation environment of the lead can, we propose a memory reasoning based reinforcement learning grasping method. The kinematics model of intelligent robot grasping system is constructed based on machine vision. The interaction between the intelligent robot and internal environment of lead cans is realized by force feedback. Through the memory reasoning decision of historical grasping data, the autonomous grasping of radioactive sources is realized. Using the Gazebo simulator in robot operating system (ROS), the Monte Carlo sampling method and reinforcement learning grasping method based on memory reasoning are simulated, respectively. The results show that the reinforcement learning grasping method based on memory reasoning achieves the average grasping efficiency of 84.67% higher than that of Monte Carlo sampling method and thus demonstrate that the reinforcement learning grasping method can effectively solve the problem of autonomous grasping of radioactive sources in lead cans.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49178070","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

Circular RNAs related to skeletal muscle atrophy in diabetic mouse model 糖尿病小鼠模型中与骨骼肌萎缩相关的环状RNA

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03262

Lei Yang, Yun Wang, Fang Deng, Teng-Fei Xu, Deming Gou, Wei Zhou, Zhangli Hu, Xianghui Zou

{"title":"Circular RNAs related to skeletal muscle atrophy in diabetic mouse model","authors":"Lei Yang, Yun Wang, Fang Deng, Teng-Fei Xu, Deming Gou, Wei Zhou, Zhangli Hu, Xianghui Zou","doi":"10.3724/sp.j.1249.2022.03262","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2022.03262","url":null,"abstract":"摘要:骨骼肌萎缩是糖尿病患者中、晚期严重并发症之一,为研究其分子发病机制,利用链脲佐菌素诱导构建小鼠 1型糖尿病模型,通过高通量测序技术,调查与糖尿病肌萎缩病变相关的环状核糖核酸 (circular ribonucleic acid,circRNA)表达谱,并利用生物信息分析软件探究 circRNA在糖尿病骨骼肌萎缩病变中的可能作用.结果显示,与正常同基因背景小鼠的同类组织相比,糖尿病鼠的腓肠肌呈现:1肌纤维面积明显减小,运动功能下降;2 含有 1 403个与 1型糖尿病发生发展相关的差异表达 circRNA,其中, 690个上调和713个下调;3通过基因本体、京都基因和基因组百科全书的功能富集分析显示,差异表达的候选 circRNA亲本基因主要富集于转录调节生物学过程、细胞质成分和蛋白质结合分子功能等方面,以及促分裂原活化蛋白激酶信号通路、泛素介导的蛋白降解、叉头盒蛋白O通路与糖尿病肌萎缩相关的信号通路等.通过数据库信息和生物信息分析技术,预测与肌萎缩基因MuRF1相结合的小RNA(mirco RNA, miRNA),并挖掘出可调控它们表达的功能circRNA,构建了circRNA-miRNA-mRNA的潜在分子调控反应轴和互作网络.研究结果表明,与肌萎缩相关的circRNA在糖尿病发病中具有调控关键分子的潜能.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42603104","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

Evaluation of drivers' mental workload based on multi-modal physiological signals 基于多模态生理信号的驾驶员心理负荷评估

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03278

Qiliang Zhang, Kunhua Yang, Xingda Qu, D. Tao

引用次数: 2

Analysis of the influence of longitudinal slope changes of undersea tunnels on drivers' EEG signals 海底隧道纵坡变化对驾驶员脑电信号的影响分析

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2022-05-01 DOI: 10.3724/sp.j.1249.2022.03271

Yongzheng Yang, Fuquan Pan, Zhaoqiang Wang, Lixia Zhang, Jinshun Yang

引用次数: 0