{"title":"Implementation of robotic gripper based on pressure module and smart fuzzy controller","authors":"Kuo-Ho Su, Syuan-Jie Huang, Chan-Yun Yang","doi":"10.1109/IFUZZY.2014.7091232","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091232","url":null,"abstract":"In this study, an alternative robotic grasping gripper including a vision system, machine fingers, pressure modules and smart fuzzy grasping controller is designed and implemented. To avoid the redundant computation of inverse kinematics, the relative coordinates are adopted in the proposed architecture. To identify the stiffness and shape of different grasping objects, a smart fuzzy grasping controller is embedded into the recognition process firstly. According to the identifying results, the membership functions of the smart fuzzy grasping controller are precisely tuned to generate the joint angles of the servo motors. The effectiveness is verified by some experimental results, and the proposed architectures are implemented in the home-made robotic grasping gripper in laboratory.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115166396","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}
{"title":"Filtering out background features from BoF representation by generating fuzzy signatures","authors":"Qiang Qiu, Q. Cao, Masaru Adachi","doi":"10.1109/IFUZZY.2014.7091224","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091224","url":null,"abstract":"Bag of Features (BoF) approach has gained its popularity in the past decade due to its simplicity and outstanding performance in computer vision tasks. However, the lack of spatial information makes the BoF method sensitive to background noise features in real-world object recognition tasks. This paper presents a method for removing background noise features from the BoF representation of images by generating fuzzy signatures. This technique treats each visual word as a fuzzy set, and defines a membership function to wipe off background features in testing images. The experimental results show that fuzzy signature can remove some background features and improve the performance of BoF method in real-world object recognition tasks.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666105","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}
{"title":"An arms body-building system using fuzzy control","authors":"T. Ren, M. Du, Jheng-ying Chen","doi":"10.1109/IFUZZY.2014.7091253","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091253","url":null,"abstract":"An arm body-building system with virtual mechanism connection is presented in this paper. Applied the cross-couple effect, proposed system will be the same as the conventional body-building mechanisms. This research includes an impedance controller and recurrent fuzzy neural networks which compensates the virtual cross-couple position error. The stability analysis and update law of the fuzzy neural networks are discussed and derived using Lyapunov stability theorem. The experimental results demonstrate the system feasibility and reliability. The proposed control scheme guarantees the system with good tracking performance in synchronous and independent mode.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128435304","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}
{"title":"Pixel-based image fusion using fuzzy system","authors":"Wei-Sheng Yang, J. Jeng","doi":"10.1109/IFUZZY.2014.7091260","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091260","url":null,"abstract":"This paper proposed an image fusion method through fuzzy system. In the fusion phase, we perform weighted average of the given images. The weightings are obtained from a fuzzy system incorporated with a rulebase. The inputs of the fuzzy system are the means and standard deviations calculated from a region of the corresponding pixels. With the use of image local properties and the fuzzy system, the fusion performance can be improved.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121548098","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}
{"title":"Robot navigation in dynamic environments using fuzzy logic and trajectory prediction table","authors":"Cheng-Hsiung Chinag, C. Ding","doi":"10.1109/IFUZZY.2014.7091240","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091240","url":null,"abstract":"Robot navigation method is to drive a robot in the unknown environment to a designate position, the target, without collision. In this paper, we propose a robot navigation approach for dynamic environment with static and moving obstacles. The proposed navigation method consists of static navigation method and dynamic path planning. The static navigation drives the robot to avoid the static obstacles by using fuzzy logic controller, which contains four input and two output variables. If the robot detects moving obstacles, the robot can recognize the velocity and moving direction of each obstacle and generate the corresponding Trajectory Prediction Table to predict the obstacles' future trajectory. If the table reveals that the robot will collide with an obstacle, the dynamic path planning will find a new path to avoid the obstacle by waiting strategy or detouring strategy. The detouring strategy is to detour the obstacle before colliding with the obstacle by using the method similar to A* algorithm. The simulation results have demonstrated the proposed method, and the robot can reach the target without collision successfully.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115379932","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}
Hansoo Lee, Yeongsang Jeong, Eun Kyeong Kim, Sungshin Kim, Se-rib Jee
{"title":"Fuzzy logic control method to reduce swing rebound phenomenon of excavator","authors":"Hansoo Lee, Yeongsang Jeong, Eun Kyeong Kim, Sungshin Kim, Se-rib Jee","doi":"10.1109/IFUZZY.2014.7091250","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091250","url":null,"abstract":"An excavator, one of most popular construction equipment, holds an important position in construction equipment market. In spite of the popularity, a lot of operator feels difficulties when they control the machine because not only its sophisticated operation method but also uncomfortable reaction such as machine shock. Especially, in stopping situation after swinging, cross-raised pressure induces swing rebound phenomenon and it generates swing shock. Therefore it is necessary to reduce swing rebound for improving controllability and satisfying operator's demand. This paper applies two different kinds of methods in MATLAB Simulink due to control swing rebound phenomenon: open loop control and fuzzy logic control. The open loop control method shows fair simulation result with two input factors, pilot pressure of swing lever and differential pressure between inlet and outlet of swing motor. But the open loop control method remains rebound phenomenon. On the other hands, the fuzzy logic control method shows better result with three input factors: add swing angle velocity. In accordance with the simulation results, the fuzzy logic control method shows more efficient.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124091256","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}
{"title":"Design of a hybrid controller for voice coil motors with simple self-learning fuzzy control","authors":"Chun-Fei Hsu, Kai-Yi Wong","doi":"10.1109/IFUZZY.2014.7091239","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091239","url":null,"abstract":"The voice coil motor (VCM) has many excellent features such as high-starting thrust force, silence, low-cost and so on. In this paper, the dynamics of a VCM with the introduction of a lumped uncertainty is studied. It shows that the dynamic characteristics and motor parameters of the VCM are non-linear and time-varying. To resolve this problem, this paper proposes a hybrid control system, which comprised of a PD controller and simple self-learning fuzzy controller (SSFC), for the position tracking control of a VCM. The SSFC contains two sets of fuzzy inference system. One is the fuzzy controller and the other is the rule modifier. The modification value of each fuzzy rule is based on the fuzzy firing weight of each fuzzy rule to achieve satisfactory learning performance, thus it is suitable for on-line VCM control. Finally, the proposed hybrid control system is implemented on a 32-bit microcontroller for possible low-cost and high-performance industrial applications. The experimental results show that the proposed hybrid control system can achieve favorable tracking performance and is robust against payload variations of a VCM.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121795966","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}
{"title":"A kinect-based gesture command control method for human action imitations of humanoid robots","authors":"I. Ding, Che-Wei Chang, Chang-jyun He","doi":"10.1109/IFUZZY.2014.7091261","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091261","url":null,"abstract":"This paper develops a Kinect-based gesture command control method for driving the humanoid robot to learn human actions. The popular Kinect sensor is well-known for its high performances on gesture recognition. This work uses three different recognition mechanisms, dynamic time wrapping (DTW), hidden Markov model (HMM) and principal component analysis (PCA)-based eigenspace approaches for performing the recognition task of the specified human active gestures captured by the Kinect sensor. The recognized gesture command is then used to control the action of a humanoid robot where the humanoid robot will imitate the human active gesture according the content of the gesture command. By the presented method, the humanoid robot will effectively learn the human action. A series of experiments on gesture recognition and humanoid robot control are done to compare the gesture command recognition performance of three recognition methods and evaluate the similarity degree of humanoid robot imitations on the gesture command-indicated human active gesture.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124901995","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}
{"title":"Evaluating the attractive power of tourism activities based on intuitionistic TOPSIS method","authors":"Chen-Tung Chen, W. Hung, Hui-Ling Cheng","doi":"10.1109/IFUZZY.2014.7091238","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091238","url":null,"abstract":"The development of tourism industry will influence the expansion of relative industry such as advertising, insurance, aviation, passenger transport, hotels, catering, amusement parks and merchandise retail industries etc. Tourism industry is one kind of service industry. The characteristics of service industry such as intangibility, heterogeneity, the synchronization of production and consumption, perishable will occur in tourism activities. Because the uncertainty and fuzziness are always happened in the service process of tourism activities, the evaluation the attractive degree of tourism activities became an important issue. The goal of this research is to apply the intuitionistic TOPSIS method to evaluate the attractive power of tourism activities. A numerical example will be implemented for illustrating the evaluation process by the intuitionistic TOPSIS method. Finally, a brief conclusion will be discussed at the end of this paper.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131621647","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}
{"title":"Fuzzy logic-based outlier detection for bio-medical data","authors":"Yong Ki Kim, Sang Yeun Lee, Keon-Myung Lee","doi":"10.1109/IFUZZY.2014.7091243","DOIUrl":"https://doi.org/10.1109/IFUZZY.2014.7091243","url":null,"abstract":"Many bio-medical databases such cohort study data suffer from potential errors involved with human factors like mistyping, overlooking some fields. It is crucial to detect such errors at the data entry stage using some techniques like outlier detection. Because such data lie in high-dimensional space and contain many null values, i.e., missing values, most conventional outlier detections are not a good choice for error detection. This paper proposes a fuzzy logic-based outlier detection technique designed to handle data inconsistency at the entry stage for bio-medical databases. The method takes care of the problems in the perspective of the horizontal and vertical consistencies. The method was implemented for a data entry assisting module of a cohort data collection system. In the pilot study, it was observed that the proposed method could detect potential errors at the data entry time.","PeriodicalId":360699,"journal":{"name":"2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133864791","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}