Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence最新文献_第4页

Flower Recognition Based on Transfer Learning and Adam Deep Learning Optimization Algorithm 基于迁移学习和Adam深度学习优化算法的花卉识别

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366301

Jing Feng, Zhiwen Wang, Min Zha, Xinliang Cao

{"title":"Flower Recognition Based on Transfer Learning and Adam Deep Learning Optimization Algorithm","authors":"Jing Feng, Zhiwen Wang, Min Zha, Xinliang Cao","doi":"10.1145/3366194.3366301","DOIUrl":"https://doi.org/10.1145/3366194.3366301","url":null,"abstract":"Due to the complex background of flowers and the similarity between their own categories, the traditional method of image recognition is to extract features manually, which can not solve this problem well. With the development and progress of science and technology, deep learning has gradually entered the image recognition problem and achieved good results. This paper proposes the flower recognition based on transfer learning and Adam deep learning optimization algorithm for the defects of the current mainstream convolutional neural network with deep depth and long parameters, long training time and slow convergence. The VGG16 model is modified and supplemented. At the same time, the transfer learning method and the Adam optimization algorithm are used to accelerate network convergence. Thirty kinds of flower image data sets were established by 102 Category Flower Dataset partial images and 17 Category Flower Dataset. The experimental results show that the accuracy of the test set in this paper is 98.99%. Compared with the traditional image recognition algorithm, it has the characteristics of fast convergence and high recognition accuracy.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117137704","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: 15

Research on the identification method of interactive guiding movement by the end sensor of robot 基于末端传感器的机器人交互导向运动识别方法研究

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366289

Haibo Xu, Rui Wang, L. xilinx Wang, Yingkun Qian

引用次数: 0

Infrared small target detection based on salient region extraction and gradient vector processing 基于显著区提取和梯度向量处理的红外小目标检测

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366269

Junchang Zhang, Bochuan Zhang, Pu Liu

引用次数: 1

A review of Visual-Based Localization 基于视觉的定位研究综述

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366211

Xing Xin, Jie Jiang, Y. Zou

{"title":"A review of Visual-Based Localization","authors":"Xing Xin, Jie Jiang, Y. Zou","doi":"10.1145/3366194.3366211","DOIUrl":"https://doi.org/10.1145/3366194.3366211","url":null,"abstract":"The visual-based localization (VBL) obtains the corresponding pose estimation in the localization system by utilizing various useful information in the surrounding environment, such as images, point cloud models, geometric information, semantic information. In recent years, visual-based localization (VBL) has been widely concerned by scientists, mainly because the commonly used GPS localization system cannot be effectively used in various environments. When GPS localization fails in some scenes such as very messy environments and severe signal occlusion, we can consider using visual-based localization to obtain the pose of the query images. Visual-based localization (VBL) has been widely used in the field of visual tasks, such as augmented reality, unmanned vehicle navigation, robotics, closed-loop detection, SFM (Structure from Motion) models. After years of development, the methods of visual-based localization (VBL) have been enriched and developed, In order to better understand the latest developments in VBL, overall research status and possible future development trends, we need make a systematic detailed classification of VBL. Although the predecessors have summarized the methods of VBL, due to the many new breakthroughs in VBL in recent years, the original summary is not perfect enough. So this paper will make a new and more detailed review of VBL in recent years. This paper divides the visual-based localization methods into three categories: image-based localization, localization based on learning model and localization based on 3D structure. And we also detail the principle, development of methods and the advantages and disadvantages of each method and future development trends.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126761359","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: 13

The New Algorithm of Equivalent Transformation from Dynamic Loads Based on Energy 基于能量的动荷载等效转换新算法

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366330

Yan-gang Zhang

引用次数: 0

Application of TWSVR Models in Stock Price Forecast TWSVR模型在股票价格预测中的应用

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366200

Haofeng Cui, Xiangfeng Yin, Xueting Wen

引用次数: 1

Hybrid Underwater Robot System Based on ROS 基于ROS的混合式水下机器人系统

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366264

Abdou Yahouza M. Sani, Tao He, Wenlong Zhao, Tingting Yao

引用次数: 3

Effective LSTM with K-means Clustering Algorithm for Electricity Load Prediction 基于k均值聚类的有效LSTM电力负荷预测算法

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366279

Dawei Geng, Haifeng Zhang, Ting Xu

引用次数: 2

Construction of a Teleoperational Interventional Surgery Robot System 远程操作介入手术机器人系统的构建

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366292

X. Yang, Zhaocui Han, Yingjun Li

{"title":"Construction of a Teleoperational Interventional Surgery Robot System","authors":"X. Yang, Zhaocui Han, Yingjun Li","doi":"10.1145/3366194.3366292","DOIUrl":"https://doi.org/10.1145/3366194.3366292","url":null,"abstract":"A remote human-machine collaboration for the positioning arm for interventional operation is proposed. The existing research orientation of the arm is combined for further study. 1) Operator's end position is detected based on the determined position and posture of the target, and the position and posture mapping mechanism between the operator and the end effector of the arm is researched based on the virtual motion prediction. 2) The strategy of telepresence is realized based on the bidirectional force mapping between the operator and the positioning arm. 3) The mechanism of man-machine cooperative control and safety control mechanism of the precise positioning of the arm is studied. 4) The recognition, tracking, force feedback and other verification and evaluation work of the robotic arm positioning process based on remote motion following is completed. The key problem is the realization of the telepresence of telecontrol and teleoperation of the interventional operation positioning arm, and bi-directional perception of human in the loop. Remote precise positioning of the arm based on human action recognition, action following and force telepresence based on operational force detection and collision force feedback is implemented. The research work is directly satisfied with the clinical needs.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114161653","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

Influencing Factors for Magnetic Circuit Environment of the Magnetorheological Fluid Dynamometer 磁流变流体测功机磁路环境的影响因素

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366307

Yameng Chen, Yiping Luo, Bin Yang

引用次数: 0