{"title":"Model-based compliant motion control scheme for assembly tasks using vision and force information","authors":"Takashi Nammoto, K. Kosuge, K. Hashimoto","doi":"10.1109/CoASE.2013.6653912","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6653912","url":null,"abstract":"This paper proposes model-based compliant motion control scheme for assembly tasks using vision and force information. Many problems, especially assembly tasks, could be solved by integrating visual servoing and impedance control with model-based compliant motion design, in which the coordinate frame of the impedance control is attached to the model of assembled object. To implement the model-based compliant motion control scheme, real-time model-based object pose estimation is used for the visual servoing implemented by a position-based approach. The coordinate frame used for the impedance control, which is attached to the object model, is determined based on the estimated object pose. The proposed control is effective for assembly of two parts like connector insertion task, in which the compliant motion should be designed according to the geometric structure of the assembled part, such as a shape of a socket. Finally, experimental results illustrate the effectiveness of the proposed control.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131282190","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":"Approximate life cycle assessment using case-based reasoning for the eco design of products","authors":"Myeon-Gyu Jeong, J. R. Morrison, H. Suh","doi":"10.1109/CoASE.2013.6654066","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6654066","url":null,"abstract":"Most manufacturing enterprise should perform environmental impact assessment throughout the entire life cycle of their products due to the increased environmental consciousness of customers and the introduction of strict environmental regulations. Life cycle assessment (LCA) is a systematic method of analyzing the environmental load of a product and evaluating potential environmental effects. It can be useful for eco design and for dealing with environmental regulations. However, the LCA process generally requires considerable time and money to collect relevant life cycle inventory (LCI) data and information. Usually, enterprises develop a new product by revising or reusing a similar previous product. Repeating the LCI data collection whenever they develop a new product is very cumbersome and will increase lead time. However if we estimate the eco impact values based on the previous design, then the efforts related to LCI data collection and its attending complex computational procedures are reduced. Although various efforts have been made on the streamlined LCA in an effort to overcome these limitations, the result is still unsuitable for practical eco design. We therefore propose an approximate LCA method using case-based reasoning (CBR) for a rapid and convenient environmental evaluation in product development. For the approximate LCA, we developed function behavior structure environmental effect (FBSE) representations and a creative similarity measurement based on FBSE for a clear and consistent CBR process. A geometry attribute based linear modeling algorithm of eco impact is proposed to replace complicated LCA procedures, and genetic algorithms are used to search for optimal solutions to satisfy the proposed model. A case study involving an upstream process of a vehicle air purifier fan confirms that the proposed CBR for LCA method can be effectively applied to eco product design.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131453808","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":"Uncertainty characterization in serial and parallel manipulators using random matrix theory","authors":"J. Sovizi, V. Krovi","doi":"10.1109/CoASE.2013.6654047","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6654047","url":null,"abstract":"In this paper, a novel random matrix approach is utilized to characterize the uncertainty propagation in the articulated robotic systems. This method permits the probabilistic formulation to take into account the complexity and structural inter-dependencies of the kinematic manipulators. However, conventional random variable/vector based approaches are unable to address this issue. The kinematic Jacobian matrix of the manipulator is probabilistically formulated so that it adopts a random symmetric positive definite perturbation matrix. The density function of the perturbation matrix is constructed using maximum entropy principle that yields a Wishart distribution with specific parameters. The only information used in the construction of the Jacobian matrix probability model are mean and a scalar value dispersion parameter. We propose to use this framework to study the propagation of the uncertainties in both serial and parallel manipulators. Parallel architecture manipulators offer superior manipulation accuracy and structural rigidity compared to serial chain manipulators but feature more complex physical layout and limited workspace. Therefore, for the design purposes, a trade off between two different architectures is required. This necessitates the mathematical characterization of their capability with respect to the uncertainty propagation. As a case study, the developed random matrix method is implemented on a planar RRR serial and a planar 3-RRR parallel manipulator, that are performing an identical task. A Monte Carlo analysis is conducted and the statistics of the response of both systems provides appropriate measures to compare their dexterity dealing with the uncertainties. The final results verify superiority of the parallel architecture.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133577165","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}
H. La, R. Lim, B. Basily, N. Gucunski, J. Yi, A. Maher, F. Romero, H. Parvardeh
{"title":"Autonomous robotic system for high-efficiency non-destructive bridge deck inspection and evaluation","authors":"H. La, R. Lim, B. Basily, N. Gucunski, J. Yi, A. Maher, F. Romero, H. Parvardeh","doi":"10.1109/CoASE.2013.6653886","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6653886","url":null,"abstract":"Bridges are one of the critical civil infrastructure for safety of traveling public. The conditions of bridges deteriorate with time as a result of material aging, excessive loading, and inadequate maintenance, etc. In this paper, the development of an autonomous robotic system is presented for highly-efficient bridge deck inspection and evaluation. An autonomous mobile robot is used as a platform to carry various non-destructive evaluation (NDE) sensing systems for simultaneous and fast data collection. Besides the NDE sensors, the robot is also equipped with various onboard navigation sensors. A sensing integration scheme is presented for high-accuracy robot localization and navigation. The effectiveness of the autonomous robotic NDE system is demonstrated through extensive experiments and field deployments.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133601406","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 decentralized optimization method for energy saving of HVAC systems","authors":"Zhe Liu, X. Chen, Xingtian Xu, X. Guan","doi":"10.1109/CoASE.2013.6654019","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6654019","url":null,"abstract":"Improving the control strategy of building HVAC (heating, ventilation, and air-conditioning) systems can lead to significant energy savings while preserving human comfort requirements. This paper proposes a decentralized optimization method for optimal setpoint control for HVAC system energy saving. The HVAC system is divided into multiple subsystems and a decentralized optimization algorithm is introduced based on the local information. With limited knowledge of its neighboring subsystems, each subsystem can achieve the local/global optimal solution of the original optimization problem, which may be nonconvex and includes both discrete and continuous decision variables. Simulation results demonstrate the effectiveness of the proposed method.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130336890","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}
Kevin Weekly, D. Rim, Lin Zhang, A. Bayen, W. Nazaroff, C. Spanos
{"title":"Low-cost coarse airborne particulate matter sensing for indoor occupancy detection","authors":"Kevin Weekly, D. Rim, Lin Zhang, A. Bayen, W. Nazaroff, C. Spanos","doi":"10.1109/CoASE.2013.6653970","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6653970","url":null,"abstract":"In the energy-efficient smart building, occupancy detection and localization is an area of increasing interest, as services, such as lighting and ventilation, could be targeted towards individual occupants instead of an entire room or floor. Also, an increasing quantity and diversity of environmental sensors are being added to smart buildings to ensure the quality of services provided by the building. The need for particulate matter (PM) sensors in consumer devices such as air purifiers, is an example where manufacturing advances have made the sensors much less expensive than laboratory equipment. Beyond their original intended use, air quality, they can also be used for occupancy monitoring. The work presented in this article proposes to use a low-cost (<; 8 USD) PM sensor to infer the local movement of occupants in a corridor by sensing the resuspension of coarse (≥ 2.5 μm) particles. To obtain meaningful values from the inexpensive sensors, we have calibrated them against a laboratory-grade instrument. After calibration, we conducted a 7.8 hour experiment measuring coarse PM within a pedestrian corridor of a heavily-used office area. Comparing against ground truth data obtained by a camera, we show that the PM sensor readings are correlated with human activity, thus enabling statistical methods to infer one from the other.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115394081","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":"Model based unbalance monitoring using augmented observer in rotor systems under the consideration of gyroscopic effect","authors":"Zhentao Wang, M. Borsdorf, S. Rinderknecht","doi":"10.1109/CoASE.2013.6654017","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6654017","url":null,"abstract":"Unbalance forces are a crucial issue in rotor systems. Often it is of interest to monitor the states of unbalances while the rotor is running in order to prevent damages to the rotor system. For the model based unbalance monitoring a rotor model is required to represent the behavior of the rotor system and the influences of the unbalances. The feasibilities of the methods are often limited by the accuracy of the system model. Accurate physical model is often hard to build especially for large scale rotor systems with unknown physical properties. In case of rotor systems with large discs, the gyroscopic effect is not negligible. It results in a rotary frequency dependent system behavior and thus makes the modeling problem more complicated. Besides the modeling problems, disturbances from initial unbalances and rotor bow are also issues to be considered in the unbalance monitoring. In this paper we formulate the disturbances and gyroscopic effect as unknown inputs, which are widely investigated in the fault detection processes and use the model of non-rotating rotor as basis for the unbalance monitoring. Augmented observer, which takes sinusoidal vibrations into consideration is used for the unbalance monitoring. The application of the method on a rotor test rig is presented in this paper.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045907","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}
Jian Zhou, Tianyi Shi, Yang Hu, Yueliang Ji, Mujun Li, Lianguan Shen
{"title":"Numerical simulation in compression molding of glass lens","authors":"Jian Zhou, Tianyi Shi, Yang Hu, Yueliang Ji, Mujun Li, Lianguan Shen","doi":"10.1109/CoASE.2013.6653894","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6653894","url":null,"abstract":"Compression molding of glass lens is a promising and efficient fabrication process for high precision glass lens production. In this research, FEM simulations of the whole compression molding of a Plano-convex glass lens were conducted using the commercial code MSC Marc. By incorporating stress relaxation and structural relaxation model of glass during the transition temperature region, accurate predictions of the press load, volume change, temperature distribution and final residual stress within lens were obtained. Also, the simulation results indicated that the maximum geometric curve deviation of the molded lens was about 9 um. Furthermore, a methodology for mold compensation to reduce the curve deviation was proposed, and the revised molded lens using the compensated mold showed a much more accurate shape with the maximum curve deviation of about 0.04 um. FEM simulations have been demonstrated to be efficient and reliable in predicting the process and improving performance.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123565790","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":"Multi tier supplier selection for a sustainable global supply chain","authors":"N. Viswanadham, A. Samvedi","doi":"10.1109/CoASE.2013.6653927","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6653927","url":null,"abstract":"Using the green supply chain supply ecosystem consisting of the supply chain, resources involved, the government and social factors and the delivery mechanism, we formulate the risk and performance criteria as qualitative as well as quantitative measures. Then we solve the multi tier sustainable supplier selection problem using grey relational analysis approach.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123608811","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":"Automatic recognition of spurious surface in building exterior survey","authors":"Yan Lu, Dezhen Song, Haifeng Li, Jingtai Liu","doi":"10.1109/CoASE.2013.6653885","DOIUrl":"https://doi.org/10.1109/CoASE.2013.6653885","url":null,"abstract":"Buildings consume around 40% of overall energy in the world. Planar mirror detection problem (PMDP) arises when surveying reflective building surface for building energy retrofit. PMDP is also important for collision avoidance when robots navigate close to highly reflective glassy walls. Our approach uses two views from an on-board camera. First, we derive geometric constraints for corresponding real-virtual features across two views. The constraints include 1) the mirror normal as a function of vanishing points of lines connecting the real-virtual feature point pairs and 2) the mirror depth in a closed form format derived from a mirror plane induced homography. Based on the geometric constraints, we employ a random sample consensus framework and an affine scale-invariant feature transform to develop a robust mirror detection algorithm. We have implemented the algorithm and tested it under both in-lab and field settings. The algorithm has achieved an overall detection accuracy rate of 91.0%.","PeriodicalId":191166,"journal":{"name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123914261","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}