Pub Date : 2018-07-01DOI: 10.1109/INDIN.2018.8472017
Ricardo Silva Peres, A. Rocha, J. Matos-Carvalho, J. Barata
In the last decades, several research initiatives suggested new solutions regarding the interoperability and interconnectivity among heterogeneous production components and all the actors that somehow interact within the shop-floor. However, most of the proposed data representations are focused on the description of the production capabilities. In this paper, it is proposed a common data model focused not only in the production capabilities of the different components as well as the description of all the events, variables and resources that could indicate quality issues. Hence, the proposed data model describes all the information required by the GO0DMAN solution to reduce as much as possible, the defects, the respective causes and the strategies to avoid the propagation along the line. In order to increase the adoption of the proposed data model, it was developed using AutomationML. The proposed data model was designed and tested within the scope of the Horizon 2020 GO0DMAN project.
{"title":"GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing","authors":"Ricardo Silva Peres, A. Rocha, J. Matos-Carvalho, J. Barata","doi":"10.1109/INDIN.2018.8472017","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472017","url":null,"abstract":"In the last decades, several research initiatives suggested new solutions regarding the interoperability and interconnectivity among heterogeneous production components and all the actors that somehow interact within the shop-floor. However, most of the proposed data representations are focused on the description of the production capabilities. In this paper, it is proposed a common data model focused not only in the production capabilities of the different components as well as the description of all the events, variables and resources that could indicate quality issues. Hence, the proposed data model describes all the information required by the GO0DMAN solution to reduce as much as possible, the defects, the respective causes and the strategies to avoid the propagation along the line. In order to increase the adoption of the proposed data model, it was developed using AutomationML. The proposed data model was designed and tested within the scope of the Horizon 2020 GO0DMAN project.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"150 1","pages":"815-821"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86660209","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472030
Pei-Chi Huang, Yi-Hsuan Hsieh, A. Mok
Ready-to-assemble furniture is a popular trend for today’s furniture companies such as IKEA due to its relative lower price and easier delivery to customers than assembled furniture. However, assembling furniture from an instruction manual by customers themselves is a tedious task. With the advance in robotics in recent years, having a robot to perform the furniture assembly is a viable idea but the cost of robotic furniture assembly is a barrier, as the overhead of using artificial intelligence techniques such as deep learning can be prohibitive. This paper presents a robotic system with a library of assembly skills that are acquired by machine learning and can be reused for different furniture sets. By applying these skills, the robot can be programmed to automatically perform the assembly task. We describe how to design a robotic task programming system that supports composition of skills and how to specify a complex assembly task to be completed by the robot with its skill set.
{"title":"A Skill-Based Programming System for Robotic Furniture Assembly","authors":"Pei-Chi Huang, Yi-Hsuan Hsieh, A. Mok","doi":"10.1109/INDIN.2018.8472030","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472030","url":null,"abstract":"Ready-to-assemble furniture is a popular trend for today’s furniture companies such as IKEA due to its relative lower price and easier delivery to customers than assembled furniture. However, assembling furniture from an instruction manual by customers themselves is a tedious task. With the advance in robotics in recent years, having a robot to perform the furniture assembly is a viable idea but the cost of robotic furniture assembly is a barrier, as the overhead of using artificial intelligence techniques such as deep learning can be prohibitive. This paper presents a robotic system with a library of assembly skills that are acquired by machine learning and can be reused for different furniture sets. By applying these skills, the robot can be programmed to automatically perform the assembly task. We describe how to design a robotic task programming system that supports composition of skills and how to specify a complex assembly task to be completed by the robot with its skill set.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"20 1","pages":"355-361"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81970761","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471926
R. Cagnin, I. R. Guilherme, J. Queiroz, B. Paulo, M. F. Neto
Industry 4.0 is the new industrial revolution that uses technologies to enable communication and interaction between devices. In this new environment, applications are designed to ensure concepts like connection, data sharing, accessibility and process automation. In a process automation context, applications must coordinate and manage the execution of different tasks performed by autonomous devices. Aiming to support the development of such applications this paper presents an architecture for the development of an approach based on Multi-agent systems (MAS), Service-Oriented Architecture and Semantic Web technologies. The architecture uses MAS organizational approach and ontologies to ensure and automate the devices management in IoT environments. A case study in a simulated industrial environment aiming the manufacturing of metallic components is presented in order to show the proposal features and feasibility.
{"title":"A Multi-agent System Approach for Management of Industrial IoT Devices in Manufacturing Processes","authors":"R. Cagnin, I. R. Guilherme, J. Queiroz, B. Paulo, M. F. Neto","doi":"10.1109/INDIN.2018.8471926","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471926","url":null,"abstract":"Industry 4.0 is the new industrial revolution that uses technologies to enable communication and interaction between devices. In this new environment, applications are designed to ensure concepts like connection, data sharing, accessibility and process automation. In a process automation context, applications must coordinate and manage the execution of different tasks performed by autonomous devices. Aiming to support the development of such applications this paper presents an architecture for the development of an approach based on Multi-agent systems (MAS), Service-Oriented Architecture and Semantic Web technologies. The architecture uses MAS organizational approach and ontologies to ensure and automate the devices management in IoT environments. A case study in a simulated industrial environment aiming the manufacturing of metallic components is presented in order to show the proposal features and feasibility.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"47 1","pages":"31-36"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84746181","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472085
A. Armentia, Elisabet Estévez-Estévez, D. Orive, M. Marcos
Global competition has resulted in changes on product demand which have to be managed by current manufacturing systems. In this context, modularity seems to be a suitable solution to provide manufacturing systems with the flexibility required to adapt to demand fluctuations when they occur, maintaining thus competitiveness and productivity. In concrete, machine modularity allows modifying a machine structure but it should be accomplished easily and rapidly. The current work proposes a model-driven methodology that allows modular machine definition and the automatic generation of the corresponding automation project, including the machine hardware configuration and its control software. It is based on the use of eXtensible Markup Language (XML) format and technologies for both model definition and code generation. The methodology has been implemented as a tool suite whose proof of concept has been developed for the particular case of the Siemens Totally Integrated Automation Portal (TIA Portal) PLC programming tool.
{"title":"A Tool Suite for Automatic Generation of Modular Machine Automation Projects","authors":"A. Armentia, Elisabet Estévez-Estévez, D. Orive, M. Marcos","doi":"10.1109/INDIN.2018.8472085","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472085","url":null,"abstract":"Global competition has resulted in changes on product demand which have to be managed by current manufacturing systems. In this context, modularity seems to be a suitable solution to provide manufacturing systems with the flexibility required to adapt to demand fluctuations when they occur, maintaining thus competitiveness and productivity. In concrete, machine modularity allows modifying a machine structure but it should be accomplished easily and rapidly. The current work proposes a model-driven methodology that allows modular machine definition and the automatic generation of the corresponding automation project, including the machine hardware configuration and its control software. It is based on the use of eXtensible Markup Language (XML) format and technologies for both model definition and code generation. The methodology has been implemented as a tool suite whose proof of concept has been developed for the particular case of the Siemens Totally Integrated Automation Portal (TIA Portal) PLC programming tool.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"4 1","pages":"553-558"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87891819","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471942
S. Graziani, M. Xibilia
Deep Neural Network (DNN) based Soft Sensors (SSs) have been demonstrated as successful alternatives to other data-driven structures. Here, a dynamic DNN based SS is proposed for the estimation of the Research Octane Number (RON) for a Reformer Unit in a refinery. The SS is required to estimate the RON when the plant operates in two different working conditions. Nonlinear Finite Inputs Response (NFIR) models have been investigated. The regressors in the models have been selected according to a cross-correlation analysis between candidate inputs and the RON value. The performance of the proposed SSs has been compared with previously designed deep structures, based on different dynamic first level models, coupled with a fuzzy algorithm.
{"title":"Deep Structures for a Reformer Unit Soft Sensor","authors":"S. Graziani, M. Xibilia","doi":"10.1109/INDIN.2018.8471942","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471942","url":null,"abstract":"Deep Neural Network (DNN) based Soft Sensors (SSs) have been demonstrated as successful alternatives to other data-driven structures. Here, a dynamic DNN based SS is proposed for the estimation of the Research Octane Number (RON) for a Reformer Unit in a refinery. The SS is required to estimate the RON when the plant operates in two different working conditions. Nonlinear Finite Inputs Response (NFIR) models have been investigated. The regressors in the models have been selected according to a cross-correlation analysis between candidate inputs and the RON value. The performance of the proposed SSs has been compared with previously designed deep structures, based on different dynamic first level models, coupled with a fuzzy algorithm.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"7 1","pages":"927-932"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82133325","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472061
Borja Ramis, Wael M. Mohammed, J. Lastra, Alberto Villalonga, Gerardo Beruvides, F. Castaño, R. Haber
Cyber-physical Systems (CPS) in industrial manufacturing facilities demand a continuous interaction with different and a large amount of distributed and networked computing nodes, devices and human operators. These systems are critical to ensure the quality of production and the safety of persons working at the shop floor level. Furthermore, this situation is similar in other domains, such as logistics that, in turn, are connected and affect the overall production efficiency. In this context, this article presents some key steps for integrating three pillars of CPS (production line, logistics and facilities) into the current smart manufacturing environments in order to adopt an industrial Cyber-Physical Systems of Systems (CPSoS) paradigm. The approach is focused on the integration in several digital functionalities in a cloud-based platform to allow a real time multiple devices interaction, data analytics/sharing and machine learning-based global reconfiguration to increase the management and optimization capabilities for increasing the quality of facility services, safety and energy efficiency and industrial productivity. Conceptually, isolated systems may enhance their capabilities by accessing to information of other systems. The approach introduces particular vision, main components, potential and challenges of the envisioned CPSoS. In addition, the description of one scenario for realizing the CPSoS vision is presented. The results herein presented will pave the way for the adoption of CPSoS that can be used as a pilot for further research on this emerging topic.
{"title":"Towards the Adoption of Cyber-Physical Systems of Systems Paradigm in Smart Manufacturing Environments","authors":"Borja Ramis, Wael M. Mohammed, J. Lastra, Alberto Villalonga, Gerardo Beruvides, F. Castaño, R. Haber","doi":"10.1109/INDIN.2018.8472061","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472061","url":null,"abstract":"Cyber-physical Systems (CPS) in industrial manufacturing facilities demand a continuous interaction with different and a large amount of distributed and networked computing nodes, devices and human operators. These systems are critical to ensure the quality of production and the safety of persons working at the shop floor level. Furthermore, this situation is similar in other domains, such as logistics that, in turn, are connected and affect the overall production efficiency. In this context, this article presents some key steps for integrating three pillars of CPS (production line, logistics and facilities) into the current smart manufacturing environments in order to adopt an industrial Cyber-Physical Systems of Systems (CPSoS) paradigm. The approach is focused on the integration in several digital functionalities in a cloud-based platform to allow a real time multiple devices interaction, data analytics/sharing and machine learning-based global reconfiguration to increase the management and optimization capabilities for increasing the quality of facility services, safety and energy efficiency and industrial productivity. Conceptually, isolated systems may enhance their capabilities by accessing to information of other systems. The approach introduces particular vision, main components, potential and challenges of the envisioned CPSoS. In addition, the description of one scenario for realizing the CPSoS vision is presented. The results herein presented will pave the way for the adoption of CPSoS that can be used as a pilot for further research on this emerging topic.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"24 1","pages":"792-799"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82119531","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472041
Giovanni Di Orio, P. Maló, J. Barata, M. Albano, L. Ferreira
Cyber-Physical Systems (CPS) are creating new market opportunities and business models for all kind of European Industries. CPS-based platforms are increasing in their size and target application areas in a steady manner. However, even if progress is made every day supported by continuous technological advancements, CPS application and deployment is still challenging. Many solutions have been made available or is currently under development in several research projects/ initiatives. Typically, these solutions show no interoperability between each other and are tailored to a specific application context. Thus, there is an urgent need for a clear definition of what a CPS-populated system actually is. This will provide a common ground for designing and building interoperable CPS-populated systems. Interoperability represents one of the most challenging problems for such systems essentially due to their intrinsic characteristics: heterogeneity, distribution and networked. These must be addressed to allow the cooperation and collaboration between all the actors of the system. In this landscape, the MANTIS project is aimed to provide a reference model for interoperable and interconnected CPS-populated systems for maintenance-related ecosystems, which is the focus of this paper.
{"title":"Towards a Framework for Interoperable and Interconnected CPS-populated Systems for Proactive Maintenance","authors":"Giovanni Di Orio, P. Maló, J. Barata, M. Albano, L. Ferreira","doi":"10.1109/INDIN.2018.8472041","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472041","url":null,"abstract":"Cyber-Physical Systems (CPS) are creating new market opportunities and business models for all kind of European Industries. CPS-based platforms are increasing in their size and target application areas in a steady manner. However, even if progress is made every day supported by continuous technological advancements, CPS application and deployment is still challenging. Many solutions have been made available or is currently under development in several research projects/ initiatives. Typically, these solutions show no interoperability between each other and are tailored to a specific application context. Thus, there is an urgent need for a clear definition of what a CPS-populated system actually is. This will provide a common ground for designing and building interoperable CPS-populated systems. Interoperability represents one of the most challenging problems for such systems essentially due to their intrinsic characteristics: heterogeneity, distribution and networked. These must be addressed to allow the cooperation and collaboration between all the actors of the system. In this landscape, the MANTIS project is aimed to provide a reference model for interoperable and interconnected CPS-populated systems for maintenance-related ecosystems, which is the focus of this paper.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"55 1","pages":"146-151"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78701250","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471923
Jiepeng Wang, Zhiwei Gao, Yichuan Fu
In this paper, a novel discrete-time sliding mode control (DSMC) method based on event-trigger strategy is proposed. The DSMC method here used is a chattering-free method. With the introduction of event-trigger strategy, the system performance is improved in terms of the control updating times. Hence, less resource is required in control execution. It is shown that the proposed control techniques ensure the reachability of the sliding surface with a small band. Finally, simulations are presented to verify the effectiveness of the proposed methods.
{"title":"Chattering-free discrete-time sliding mode control with event-trigger strategy","authors":"Jiepeng Wang, Zhiwei Gao, Yichuan Fu","doi":"10.1109/INDIN.2018.8471923","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471923","url":null,"abstract":"In this paper, a novel discrete-time sliding mode control (DSMC) method based on event-trigger strategy is proposed. The DSMC method here used is a chattering-free method. With the introduction of event-trigger strategy, the system performance is improved in terms of the control updating times. Hence, less resource is required in control execution. It is shown that the proposed control techniques ensure the reachability of the sliding surface with a small band. Finally, simulations are presented to verify the effectiveness of the proposed methods.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"32 1","pages":"629-634"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78766343","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472082
T. Okano, T. Ishikawa, T. Murakami
Machine automation is getting significant attention from the society due to the declining labor population in Japan. This paper considers Motion Copying System (MCS) that is known as the machine automation method. MCS is able to play back the saved motion if environmental conditions between the saving and loading phases are the same. The variation of environmental condition, however, degrades the motion reproduction performance because the tactile information needs the bilateral communication between the master and the slave, which can also be said of the sender and the receiver, unlike the visual or audio information. This paper proposes the scaling adjustment method for compensating the environmental impedance variation between the saving and loading phases. The effectiveness of the proposal was verified through simulation.
{"title":"Scaling Adjustment Method for Motion Copying System with Environmental Variations","authors":"T. Okano, T. Ishikawa, T. Murakami","doi":"10.1109/INDIN.2018.8472082","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472082","url":null,"abstract":"Machine automation is getting significant attention from the society due to the declining labor population in Japan. This paper considers Motion Copying System (MCS) that is known as the machine automation method. MCS is able to play back the saved motion if environmental conditions between the saving and loading phases are the same. The variation of environmental condition, however, degrades the motion reproduction performance because the tactile information needs the bilateral communication between the master and the slave, which can also be said of the sender and the receiver, unlike the visual or audio information. This paper proposes the scaling adjustment method for compensating the environmental impedance variation between the saving and loading phases. The effectiveness of the proposal was verified through simulation.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"418-423"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77199285","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471967
N. Ferreira, Elisabete D. C. Freitas
This paper describes a two-month summer intensive course designed to introduce participants with a hands-on technical craft on robotics and to acquire experience in the lowlevel details of embedded systems. Attendants started this course with a brief introduction to robotics; learned to draw, design and create a personalized 3D structure for their mobile robotic platform and developed skills in embedded systems. They were familiarize with the practices used in robotics, learning to connect all sensors and actuator, developing a typical application on differential kinematic using Arduino, exploring ROS features under Raspberry Pi environment and Arduino — Raspberry Pi communication. Different paradigms and some real applications and programming were addressed on the topic of Artificial Intelligence. This paper describes not just the concept, layout and methodology used on RobotCraft 2017 but also presents the participants knowledge background and their overall opinions, leading to focus on lessons learned and suggestions for future editions.
{"title":"Robotics as multi-disciplinary learning: a summer course perspective","authors":"N. Ferreira, Elisabete D. C. Freitas","doi":"10.1109/INDIN.2018.8471967","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471967","url":null,"abstract":"This paper describes a two-month summer intensive course designed to introduce participants with a hands-on technical craft on robotics and to acquire experience in the lowlevel details of embedded systems. Attendants started this course with a brief introduction to robotics; learned to draw, design and create a personalized 3D structure for their mobile robotic platform and developed skills in embedded systems. They were familiarize with the practices used in robotics, learning to connect all sensors and actuator, developing a typical application on differential kinematic using Arduino, exploring ROS features under Raspberry Pi environment and Arduino — Raspberry Pi communication. Different paradigms and some real applications and programming were addressed on the topic of Artificial Intelligence. This paper describes not just the concept, layout and methodology used on RobotCraft 2017 but also presents the participants knowledge background and their overall opinions, leading to focus on lessons learned and suggestions for future editions.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"29 1","pages":"536-543"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77331023","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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