Shamsudeen Abubakar, S. Das, Christopher Robinson, M. Saadatzi, M. Logsdon, Heather Mitchell, D. Chlebowy, D. Popa
{"title":"ARNA, a Service robot for Nursing Assistance: System Overview and User Acceptability","authors":"Shamsudeen Abubakar, S. Das, Christopher Robinson, M. Saadatzi, M. Logsdon, Heather Mitchell, D. Chlebowy, D. Popa","doi":"10.1109/CASE48305.2020.9216845","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216845","url":null,"abstract":"Using robots capable of collaboration with humans to complete physical tasks in unstructured spaces is a rapidly growing approach to work. Particular examples where increased levels of automation can increase productivity include robots used as nursing assistants. In this paper, we present a mobile manipulator designed to serve as an assistant to nurses in patient walking and patient sitting tasks in hospital environments. The Adaptive Robotic Nursing Assistant (ARNA) robot consists of an omnidirectional base with an instrumented handlebar, and a 7-DOF robotic arm. We describe its components and the novelties in its mechanisms and instrumentation. Experiments with human subjects that gauge the usability and ease of use of the ARNA robot in a medical environment indicate that the robot will get significant actual usage, and are used as a basis for a discussion on how the robot’s features facilitate its adaptability for use in other scenarios and environment.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130886501","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}
Fengxia Liu, Zhanbo Xu, Kun Liu, Jiang Wu, X. Guan
{"title":"Coordinated Optimization of EVs and Multiple Buildings with Renewable Energy","authors":"Fengxia Liu, Zhanbo Xu, Kun Liu, Jiang Wu, X. Guan","doi":"10.1109/CASE48305.2020.9217047","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9217047","url":null,"abstract":"This paper focuses on the jointly optimization of a micro-grid comprising electric vehicles (EVs) and buildings equipped with photovoltaic (PV) on the roof. The optimization problem of EVs and multiple buildings with renewable energy is formulated as a stochastic mixed integer linear programming (MILP) problem, in which bidirectional integration of EVs, building’s demand response (DR) flexibility caused by outside air temperature (OAT) and thermostat setpoint temperature adjustment, and the uncertainty in PV power generation are fully taking into account. Scenario based method is adopted to deal with the randomness of PV generation and stochastic capacity requirements of EVs. The performance of jointly optimization is discussed based on case studies. Numerical results show that the aggregated EVs modeled as virtual storage system could not only significantly reduce the system cost and add building DR flexibility, but also could compensate the intermittency of renewable energy generation through peak shaving and valley filling","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134404058","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":"Modeling, Simulation and Supervisory Control of Semiconductor Manufacturing Cluster Tools with an Equipment Front-End Module","authors":"Cheolhui Hong, Tae-Eog Lee","doi":"10.1109/CASE48305.2020.9216790","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216790","url":null,"abstract":"Due to extreme quality control requirements, recent cluster tools for semiconductor manufacturing processes tend to have an equipment front-end module (EFEM), where wafer cassettes are loaded and unloaded, and aligned before processing at chambers and cooled before returned to the loadport. Strict wafer treatment requirements in an EFEM make tool operation complicated, and often cause logical problems like deadlocks. We therefore propose a logical control method for dealing with such complexity. We first present a number of extended finite state machines (EFSM) models. They specify proper tool operation at the wafer aligner, cooler, and atmosphere robot of the EFEM as well as the wafer processing chambers and the vacuum handling robot. Each EFSM includes a control specification that enforces the sequence of wafer processes at chambers, aligning or cooling recipes at the EFEM. To prevent a deadlock due to complicated operation and inefficient operation, by following a part of the supervisory control theory, we make a synchronous product of the extended state machines to form an integrated global state machine and trim out deadlock-inducing states. We use the resulting state machine as a supervisory controller that ensures proper tool operation. To confirm proper tool control, we then experiment simple scheduling strategies prior to robust scheduling for further performance optimization by tool simulation based on the EFSM models and their supervisory controller.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132718835","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}
Yan Lv, C. Li, Ying Tang, Xingzheng Chen, Xikun Zhao
{"title":"Towards Lightweight Spindle of CNC Lathe Using Structural Optimization Design for Energy Saving*","authors":"Yan Lv, C. Li, Ying Tang, Xingzheng Chen, Xikun Zhao","doi":"10.1109/CASE48305.2020.9216976","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216976","url":null,"abstract":"The spindle system of computer numerical control (CNC) lathe is the principal energy consumer in the machine tool operating stage. Structural optimization design of spindle is regarded as an effective strategy for energy saving. Compared with previous optimization design methods for improving deformation, vibration and other traditional performance indicators of spindle, this paper proposes a method comprehensively considering energy consumption and traditional performance. Firstly, we bulid an energy consumption function of spindle. Structure parameters that have the great influence on the indicators are selected as decision variables. Then, a comprehensive performance objective is determined. Finally, a hybrid algorithm is developed to solve the optimization model. The results show that the optimized structure can decrease the energy consumption while ensuring the static and dynamic performance.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130951148","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}
Chao Guo, Tianxiang Bai, Yue Lu, Yilun Lin, Gang Xiong, Xiao Wang, Fei-yue Wang
{"title":"Skywork-daVinci: A Novel CPSS-based Painting Support System","authors":"Chao Guo, Tianxiang Bai, Yue Lu, Yilun Lin, Gang Xiong, Xiao Wang, Fei-yue Wang","doi":"10.1109/CASE48305.2020.9216814","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216814","url":null,"abstract":"There are many artistic support systems available for artists, but none of them provides high-grade collaborative support for traditional artistic painting as an assistant. To collaborate with human artists, the support system should involve essential artistic procedures and be capable of imitating basic artistic techniques of human artists. In this paper, we address this issue and introduce a novel painting support system, namely Skywork-daVinci, based on a human-in-the-loop mechanism. A CPSS-based approach is proposed for collaboration between human artists and machines. Based on the approach, we develop a robotic painting system to imitate painting techniques of artists. Then, an acrylic painting case is presented to demonstrate the feasibility of our system. Furthermore, comparisons between existing robotic painting systems and ours are discussed. As experimental results show, our robotic painting system could imitate the essential painting techniques of human artists and reproduce the paintings drawn by them. This primary system acts as the basis to realize our collaborative artistic support system entirely in future work.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131014199","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":"Efficiently Learning a Distributed Control Policy in Cyber-Physical Production Systems Via Simulation Optimization","authors":"M. Zou, Edward Huang, B. Vogel‐Heuser, C.-H. Chen","doi":"10.1109/CASE48305.2020.9249228","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9249228","url":null,"abstract":"The manufacturing industry is becoming more dynamic than ever. The limitations of non-deterministic network delays and real-time requirements call for decentralized control. For such dynamic and complex systems, learning methods stand out as a transformational technology to have a more flexible control solution. Using simulation for learning enables the description of highly dynamic systems and provides samples without occupying a real facility. However, it requires prohibitively expensive computation. In this paper, we argue that simulation optimization is a powerful tool that can be applied to various simulation-based learning processes for tremendous effects. We proposed an efficient policy learning framework, ROSA (Reinforcement-learning enhanced by Optimal Simulation Allocation), with unprecedented integration of learning, control, and simulation optimization techniques, which can drastically improve the efficiency of policy learning in a cyber-physical system. A proof-of-concept is implemented on a conveyer-switch network, demonstrating how ROSA can be applied for efficient policy learning, with an emphasis on the industrial distributed control system.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133498129","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":"Blockchain Technology-Enabled Smart Product-Service System Lifecycle Management: A Conceptual Framework","authors":"Caibo Zhou, Wenyan Song, Lingdi Liu, Zixuan Niu","doi":"10.1109/CASE48305.2020.9216809","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216809","url":null,"abstract":"Smart product-service system (SPSS) is a new business model that integrates smart products and e-services to satisfy customer needs better and improve enterprise competitiveness. In case to reasonably and efficiently manage the products, services, information, and data generated throughout the SPSS lifecycle, it is necessary to conquer the problem of data insecurity and the low-trust between stakeholders. Blockchain can provide solutions because of its characteristics such as decentralized, irreversibility of records and smart contracts, etc. To solve the problem, this paper develops a conceptual framework for smart PSS lifecycle management which consists of four layers: perception layer, business resource layer, blockchain layer, and application layer. Furthermore, this paper introduces the typical improved services at each stage and an illustrative case of smart coffee machine service system. Finally, the paper puts forward the future work combined with limitations. This framework will help stakeholders achieve more secure and efficient SPSS lifecycle management and further enhance enterprise competitiveness.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"526 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132186995","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}
Kaicheng Huang, Zhenxi Cui, Ihab Abu Ajamieh, J. Lai, J. Mills, H. Chu
{"title":"Automated Single-microparticle Patterning System for Micro-analytics","authors":"Kaicheng Huang, Zhenxi Cui, Ihab Abu Ajamieh, J. Lai, J. Mills, H. Chu","doi":"10.1109/CASE48305.2020.9216820","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216820","url":null,"abstract":"Micropatterning has been applied in pharmaceutical research and drug discovery as an effective tool. Assays and tests can be easily performed by arranging microparticles in an array. However, the quality of the microparticle pattern influences the reliability of the results. In this study, an automatic single-microparticle patterning system was developed. This system enables precise patterning of single microparticles through dielectrophoresis, which can manipulate micro-objects (e.g., bead, protein, and cell). Orange fluorescent polystyrene beads $(40 mu m)$ were suspended in 6-aminohexanoic acid solution. In contrast to the conventional microfluidic configuration, electrode-based microchip suspended above the substrate can selectively trap and pattern the microbeads. In particular, the microbeads laying on the substrate can be displaced to different positions relative to the patterning electrodes in the microchip. A vision-based approach was used to evaluate necessary information such as the gap distance and positions of the electrodes and microbeads in the image. Experiments were performed to examine the strategy used to construct high-quality single-bead patterns. With the proposed system, different single microbead patterns can be successfully constructed on a glass substrate. Results confirmed that this system offers an automatic method with high flexibility to construct different single microparticle patterns for various applications.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"os-12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133447603","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":"Active Impact Motion for a Quadruped Robot","authors":"L. Shang, Wei Wang, J. Yi","doi":"10.1109/CASE48305.2020.9216772","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216772","url":null,"abstract":"In this paper, we propose a novel method of generating and executing active impact motion on a quadruped robot by mimicking active impact motion of quadruped animals. In order to generate active impact motion postures, we divide the whole active impact process into three phases and present a Center of Gravity (COG) trajectory planning method for these phases. A controller based on virtual model control (VMC) is used for active impact motion execution and a pitch attitude adjustment controller is utilized to stabilize the robot. Besides, a Hopf oscillator-based Central Pattern Generator (CPG) network with controllable locomotion stride is responsible for generating control signals of quadruped gaits during active impact motion. In order to verify effectiveness of the proposed control strategy, we show experimental results that a quadruped robot pushes the target object weighing 15 kg away for 50 cm by executing active impact motion.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"51 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132899538","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":"RepAtt: Achieving Swarm Coordination through Chemotaxis","authors":"S. O. Obute, P. Kilby, M. Dogar, J. Boyle","doi":"10.1109/CASE48305.2020.9216993","DOIUrl":"https://doi.org/10.1109/CASE48305.2020.9216993","url":null,"abstract":"Swarm foraging is a common test case application for multi-robot systems. In this paper we present a novel algorithm for improving coordination of a robot swarm by selectively broadcasting repulsion and attraction signals. Robots use a chemotaxis-inspired search behaviour based on the temporal gradients of these signals in order to navigate towards more advantageous areas. Hardware experiments were used to model and validate realistic, noisy sound communication. We then show through extensive simulation studies that our chemotaxis-based coordination algorithm significantly improves swarm foraging time and robot efficiency.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132900463","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}