Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7831929
Shuqiang Zhao, J. Gu, Y. Ou, Wei Zhang, J. Pu, H. Peng
Self-Localization plays an important role in the mobile robot autonomous navigation. The Wheel Mobile robot usually contains a large number of different sensors, such as odometry, gyro, laser, camera and so on. All these sensors provide the information of robot localization and all these information should be considered for the optimal location. However, for the cost of the iRobot, we could not be equipped with a lot of sensors. We have only encoder sensor and gyro sensor. So this paper researches mobile robot localization only using odometer and gyro sensor based on Extended Kalman Filter (EKF). The method is that the iRobot fuses the messages from encoder sensor and gyro sensor by EKF theory, which can collect the errors that obtained the robot's orientation and position. The experiment results appear that the proposed self-localization method is effective and feasible.
{"title":"IRobot self-localization using EKF","authors":"Shuqiang Zhao, J. Gu, Y. Ou, Wei Zhang, J. Pu, H. Peng","doi":"10.1109/ICINFA.2016.7831929","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7831929","url":null,"abstract":"Self-Localization plays an important role in the mobile robot autonomous navigation. The Wheel Mobile robot usually contains a large number of different sensors, such as odometry, gyro, laser, camera and so on. All these sensors provide the information of robot localization and all these information should be considered for the optimal location. However, for the cost of the iRobot, we could not be equipped with a lot of sensors. We have only encoder sensor and gyro sensor. So this paper researches mobile robot localization only using odometer and gyro sensor based on Extended Kalman Filter (EKF). The method is that the iRobot fuses the messages from encoder sensor and gyro sensor by EKF theory, which can collect the errors that obtained the robot's orientation and position. The experiment results appear that the proposed self-localization method is effective and feasible.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126536419","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7831995
Xianxiang Chen, Xun Bao, Z. Fang, S. Xia
With the growth of aging populations in both developed and developing countries and the increase of noncommunicable disease, the contradiction between increasing healthcare demands and the shortage of medical specialists have become more and more serious. Wearable personal health devices (PHDs) provide a good solution to this problem. But due to the proprietary interface and data protocol, the compatibility and extensibility problem among different PHDs producers strongly influenced the spread adoption of the wearable PHDs in the field of telemedicine. So we designed and implemented a ubiquitous health monitoring system based on Android tablet, which can not only acquire and process the physiological signals from non-standard laboratory developed multi-function wearable health monitoring sensors, but also acquire and process the physiological signals from standard PHDs comply with Continua Alliance or/and ISO/IEEE 11073 standards. The preliminary results demonstrate that this system can not only receive data from standard and non-standard PHDs, but also do the arrhythmia classification and heart rate variability analysis in real time.
{"title":"Design and development of a ubiquitous healthcare monitoring system based on Android platform and ISO/IEEE 11073 standards","authors":"Xianxiang Chen, Xun Bao, Z. Fang, S. Xia","doi":"10.1109/ICINFA.2016.7831995","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7831995","url":null,"abstract":"With the growth of aging populations in both developed and developing countries and the increase of noncommunicable disease, the contradiction between increasing healthcare demands and the shortage of medical specialists have become more and more serious. Wearable personal health devices (PHDs) provide a good solution to this problem. But due to the proprietary interface and data protocol, the compatibility and extensibility problem among different PHDs producers strongly influenced the spread adoption of the wearable PHDs in the field of telemedicine. So we designed and implemented a ubiquitous health monitoring system based on Android tablet, which can not only acquire and process the physiological signals from non-standard laboratory developed multi-function wearable health monitoring sensors, but also acquire and process the physiological signals from standard PHDs comply with Continua Alliance or/and ISO/IEEE 11073 standards. The preliminary results demonstrate that this system can not only receive data from standard and non-standard PHDs, but also do the arrhythmia classification and heart rate variability analysis in real time.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131921895","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7832091
Yunjiang Hou, Jun Cheng, Wei Feng, X. Zou
In this paper, we present a novel authentication method based on image feature matching to make intelligent lock key can be defined by user which will improve the security and ease-use of intelligent electronic lock. It is a new unlock scheme for intelligent lock that may replaces the text passwords and biological features which are typically used in intelligent lock system. In this method, an object or a digital picture displayed on a physical user-owned device such as a mobile phone can be defined as the intelligent electronic lock key. Firstly, obtain the image of object or digital picture that user defines as the key and the image of the user used for unlocking respectively. Secondly, highly distinctive optical features are extracted from two images and then matching with the features, afterwards the distance between two image's keypoints constitute a discriminant vector. Finally, a LINEAR Support Vector Machine (SVM) is used to classify the discriminant vector. Simulation and experimental results demonstrate the feasibility of proposed approach. The experimental results have obtained satisfactory effect.
本文提出了一种新的基于图像特征匹配的认证方法，使用户可以自定义智能电子锁的密钥，从而提高了智能电子锁的安全性和易用性。它是一种新的智能锁解锁方案，可以取代智能锁系统中常用的文本密码和生物特征。在该方法中，在用户拥有的物理设备(如移动电话)上显示的对象或数字图像可以定义为智能电子锁钥匙。首先，分别获取用户定义为密钥的物体图像或数字图像和用于解锁的用户图像。其次，从两幅图像中提取高度显著的光学特征，然后与特征进行匹配，然后将两幅图像关键点之间的距离构成判别向量;最后，利用线性支持向量机(LINEAR Support Vector Machine, SVM)对判别向量进行分类。仿真和实验结果验证了该方法的可行性。实验结果取得了满意的效果。
{"title":"Intelligent electronic lock with user-defined graphical key","authors":"Yunjiang Hou, Jun Cheng, Wei Feng, X. Zou","doi":"10.1109/ICINFA.2016.7832091","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7832091","url":null,"abstract":"In this paper, we present a novel authentication method based on image feature matching to make intelligent lock key can be defined by user which will improve the security and ease-use of intelligent electronic lock. It is a new unlock scheme for intelligent lock that may replaces the text passwords and biological features which are typically used in intelligent lock system. In this method, an object or a digital picture displayed on a physical user-owned device such as a mobile phone can be defined as the intelligent electronic lock key. Firstly, obtain the image of object or digital picture that user defines as the key and the image of the user used for unlocking respectively. Secondly, highly distinctive optical features are extracted from two images and then matching with the features, afterwards the distance between two image's keypoints constitute a discriminant vector. Finally, a LINEAR Support Vector Machine (SVM) is used to classify the discriminant vector. Simulation and experimental results demonstrate the feasibility of proposed approach. The experimental results have obtained satisfactory effect.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129995017","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7831918
Junde Qi, Dinghua Zhang, Shan Li, Bing Chen
The grinding process is influenced by many factors which make it prone to fluctuations in the quality and hard to guarantee the effectiveness and reliability. Therefore, as for this problem, an adaptive adjustment model of the parameters in grinding process is established. First single factor experiments were conducted to get the influence of the processing parameters on the quality qualitatively and the variation range of the parameters can also be obtained. Then, based on the orthogonal experiments, multiple linear regression method was used to establish the empirical relationship between the processing parameters and product quality quantificationally. Moreover, the parameter sensitivity function was presented through the relationship. On the basis of the analyses above, the model of the adaptive adjustment of the parameters was presented using fuzzy theory and the adjustive sequence, direction and step length were given. Finally experiments were conducted and the results show the effectiveness of the adjustment method.
{"title":"Research on the adaptive adjustment of the parameters in grinding process","authors":"Junde Qi, Dinghua Zhang, Shan Li, Bing Chen","doi":"10.1109/ICINFA.2016.7831918","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7831918","url":null,"abstract":"The grinding process is influenced by many factors which make it prone to fluctuations in the quality and hard to guarantee the effectiveness and reliability. Therefore, as for this problem, an adaptive adjustment model of the parameters in grinding process is established. First single factor experiments were conducted to get the influence of the processing parameters on the quality qualitatively and the variation range of the parameters can also be obtained. Then, based on the orthogonal experiments, multiple linear regression method was used to establish the empirical relationship between the processing parameters and product quality quantificationally. Moreover, the parameter sensitivity function was presented through the relationship. On the basis of the analyses above, the model of the adaptive adjustment of the parameters was presented using fuzzy theory and the adjustive sequence, direction and step length were given. Finally experiments were conducted and the results show the effectiveness of the adjustment method.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130055575","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7831949
Keding Zhang, Qi Chen
With the development of artificial intelligence, robot navigation based on natural language processing is concerned by more researchs. At the present stage, there are few studies on route natural language processing (RNLP), and there is no professional corpus, so the method of route natural language processing is generally based on a small amount of restricted corpus. This paper puts forward a method of semantic extraction based on semantic role labeling. Firstly, the simulation environment is built, and the route natural language corpus is built. Then, based on the analysis of the route natural language corpus, this paper proposes several common chunks of route natural language, and carries out the chunking experiment. Finally, semantic role labeling (SRL) is performed on the basis of the chunking. According to the results of semantic role labeling, navigation intention map is generated. The experimental results show that this method is suitable for the semantic extraction of route natural languages with non restricted.
{"title":"Route natural language processing method for robot navigation","authors":"Keding Zhang, Qi Chen","doi":"10.1109/ICINFA.2016.7831949","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7831949","url":null,"abstract":"With the development of artificial intelligence, robot navigation based on natural language processing is concerned by more researchs. At the present stage, there are few studies on route natural language processing (RNLP), and there is no professional corpus, so the method of route natural language processing is generally based on a small amount of restricted corpus. This paper puts forward a method of semantic extraction based on semantic role labeling. Firstly, the simulation environment is built, and the route natural language corpus is built. Then, based on the analysis of the route natural language corpus, this paper proposes several common chunks of route natural language, and carries out the chunking experiment. Finally, semantic role labeling (SRL) is performed on the basis of the chunking. According to the results of semantic role labeling, navigation intention map is generated. The experimental results show that this method is suitable for the semantic extraction of route natural languages with non restricted.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131513368","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7831971
Keqiang Bai, Minzhou Luo, Tao Li, Guanwu Jiang
This paper the adaptive backstepping control algorithm (ABCA) is proposed for dual-arm cooperative manipulators to achieve a precise trajectory tracking in the task space. Firstly the Lagrange function is employed to construct the dynamic mode of the upper part of the humanoid, the modified dynamic mode is obtained through decoupling the each joint. Secondly the modified dynamic is lower computation burden and extends the application the dual-arm manipulators. Moreover the backstepping control algorithm is designed to implement the dual-arm cooperative control. Finally the effectiveness of the proposed control approach and theoretical discussion are proved by the experiences compared with the robust control method (RCM), which show the proposed algorithm could asymptotically converge to zero to show the validity of the simulation results.
{"title":"Dynamics model and adaptive backstepping control on the 7-DOF manipulators of a humanoid robot","authors":"Keqiang Bai, Minzhou Luo, Tao Li, Guanwu Jiang","doi":"10.1109/ICINFA.2016.7831971","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7831971","url":null,"abstract":"This paper the adaptive backstepping control algorithm (ABCA) is proposed for dual-arm cooperative manipulators to achieve a precise trajectory tracking in the task space. Firstly the Lagrange function is employed to construct the dynamic mode of the upper part of the humanoid, the modified dynamic mode is obtained through decoupling the each joint. Secondly the modified dynamic is lower computation burden and extends the application the dual-arm manipulators. Moreover the backstepping control algorithm is designed to implement the dual-arm cooperative control. Finally the effectiveness of the proposed control approach and theoretical discussion are proved by the experiences compared with the robust control method (RCM), which show the proposed algorithm could asymptotically converge to zero to show the validity of the simulation results.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128948716","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7832149
Keqing Guan, Yimin Zhang, Ping Song
Personalization recommendation can effectively solve the negative influence of information overload to users in the environment of big data. And the existing personalization recommendation model is insufficient in integrating the time characteristics of users' behavior. We build a new extend model of personalization recommendation based on the method of latent factor model. Time characteristics of users' historical behavior are introduced into new model to improve the predictions' accuracy. we implement the new model based on the method of factorization machines, and verify the validity of new model by using the data of movielens dataset. Experimental results demonstrate better performance of new model in improving the predictions' accuracy of users' preferences compared with existing model.
{"title":"A personalization recommendation method with time characteristics","authors":"Keqing Guan, Yimin Zhang, Ping Song","doi":"10.1109/ICINFA.2016.7832149","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7832149","url":null,"abstract":"Personalization recommendation can effectively solve the negative influence of information overload to users in the environment of big data. And the existing personalization recommendation model is insufficient in integrating the time characteristics of users' behavior. We build a new extend model of personalization recommendation based on the method of latent factor model. Time characteristics of users' historical behavior are introduced into new model to improve the predictions' accuracy. we implement the new model based on the method of factorization machines, and verify the validity of new model by using the data of movielens dataset. Experimental results demonstrate better performance of new model in improving the predictions' accuracy of users' preferences compared with existing model.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130814377","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7831916
A. Hajiloo, W. Xie, Zhijun Fu
In the standard MPC formulations, there is a single objective function which is normally the summation of weighted quadratic functions. Although several control specification can be considered in the single objective function, choosing the appropriate weighting factor associated with each cost function poses challenge to the control designers. This work proposes a novel MPC scheme based on multi-objective optimization. At each sampling time, the MPC control action is chosen among a set of optimal solutions based on the Nash bargaining solution. The stability and controller design are projected as LMIs. It is shown through the examples that the proposed method can provide better control performance compared with the other methods in the literature of control systems.
{"title":"Nash bargaining approach to design multi-objective MPC","authors":"A. Hajiloo, W. Xie, Zhijun Fu","doi":"10.1109/ICINFA.2016.7831916","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7831916","url":null,"abstract":"In the standard MPC formulations, there is a single objective function which is normally the summation of weighted quadratic functions. Although several control specification can be considered in the single objective function, choosing the appropriate weighting factor associated with each cost function poses challenge to the control designers. This work proposes a novel MPC scheme based on multi-objective optimization. At each sampling time, the MPC control action is chosen among a set of optimal solutions based on the Nash bargaining solution. The stability and controller design are projected as LMIs. It is shown through the examples that the proposed method can provide better control performance compared with the other methods in the literature of control systems.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130919994","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7831951
Xiaojie Guo, Yakun Zhang, Rong Liu, Yongxuan Wang
Nowadays, the minimally invasive virtual vascular surgery system is of particular interest. To provide realistic surgical training, collision detection plays an integral role in virtual vascular surgery. However, the blood vessel such as abdominal aorta has the characteristics of plasticity, viscoelasticity, anisotropy, inhomogeneity, and nonlinearity, which lead to complex deformation models and large-scale calculations in the collision detection process. To solve this problem, a finite-element-method based on deformation model for the abdominal aorta was provided. Then a hybrid bounding volume collision detection method, AABB-K-DOPs, was proposed to speed up the organ deformation reaction. Experimental results show that, compared with traditional methods, the proposed method accelerates real-time collision detection without affecting the accuracy.
{"title":"Efficient collision detection with a deformable model of an abdominal aorta","authors":"Xiaojie Guo, Yakun Zhang, Rong Liu, Yongxuan Wang","doi":"10.1109/ICINFA.2016.7831951","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7831951","url":null,"abstract":"Nowadays, the minimally invasive virtual vascular surgery system is of particular interest. To provide realistic surgical training, collision detection plays an integral role in virtual vascular surgery. However, the blood vessel such as abdominal aorta has the characteristics of plasticity, viscoelasticity, anisotropy, inhomogeneity, and nonlinearity, which lead to complex deformation models and large-scale calculations in the collision detection process. To solve this problem, a finite-element-method based on deformation model for the abdominal aorta was provided. Then a hybrid bounding volume collision detection method, AABB-K-DOPs, was proposed to speed up the organ deformation reaction. Experimental results show that, compared with traditional methods, the proposed method accelerates real-time collision detection without affecting the accuracy.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132847428","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}
Pub Date : 2016-08-01DOI: 10.1109/ICINFA.2016.7832130
Chunxin Huang, Lei Zhang, Tengfei Liu, H. Zhang
Future robot applications will require cloud computing. Using an architecture of cloud robotics would increase performance over hardware constraints (e.g., processors, memory, and power). In this paper, we propose a control middleware for cloud robotics, which not only can receive the robots' requests and allocate the cloud resources based on the robots demand, but also can ensure the connection between the robots and the cloud more stability. And then, we use an autonomous, humanoid robot to test the first stage of the control middleware. Effectiveness of this control middleware is demonstrated by experiments.
{"title":"A control middleware for cloud robotics","authors":"Chunxin Huang, Lei Zhang, Tengfei Liu, H. Zhang","doi":"10.1109/ICINFA.2016.7832130","DOIUrl":"https://doi.org/10.1109/ICINFA.2016.7832130","url":null,"abstract":"Future robot applications will require cloud computing. Using an architecture of cloud robotics would increase performance over hardware constraints (e.g., processors, memory, and power). In this paper, we propose a control middleware for cloud robotics, which not only can receive the robots' requests and allocate the cloud resources based on the robots demand, but also can ensure the connection between the robots and the cloud more stability. And then, we use an autonomous, humanoid robot to test the first stage of the control middleware. Effectiveness of this control middleware is demonstrated by experiments.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133605977","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}
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