Technical advancements, such as autonomous systems, prompt a reevaluation of operator roles within human-machine systems in manufacturing. This paper presents a systematic review of 370 records concerning applications...
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Technical advancements, such as autonomous systems, prompt a reevaluation of operator roles within human-machine systems in manufacturing. This paper presents a systematic review of 370 records concerning applications in relevant application areas. It offers classifications of activities within human-machine systems, providing a nuanced exploration of operator roles and interaction dynamics. Through this analysis, three distinct perspectives emerge, focusing on agent dependency, information processing, and functional roles. The results highlight the importance of clear role descriptions and the current lack of standardized approaches and offering valuable insights for future research and practical applications. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)
This paper proposes a "human-in-the-loop design structure matrix (DSM)" method for understanding and reorganizing the structures of multiple cyber-physical systems (CPSs), focusing on user activities. By inc...
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ISBN:
(纸本)9781713872344
This paper proposes a "human-in-the-loop design structure matrix (DSM)" method for understanding and reorganizing the structures of multiple cyber-physical systems (CPSs), focusing on user activities. By incorporating user activities as integral components in system engineering techniques, this method contributes to the design literature on human-in-the-loop CPS. Using the illustrative case of a smart home, we obtained the following types of clusters to review the structure and cyber-physical configurations of CPSs: clusters that retain the target user activity, clusters decoupled from the target user activity, and clusters across two different user activities. In the second type, we found a hub cluster regarding the cyber process of notifications to users, which enabled diverse data utilization among the clusters. Copyright (c) 2023 The Authors.
The determination of destinations and paths is a critical aspect of robot navigation. In recent years, research has been conducted on methods to provide robots with realistic destinations for use in practical situatio...
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ISBN:
(纸本)9781713872344
The determination of destinations and paths is a critical aspect of robot navigation. In recent years, research has been conducted on methods to provide robots with realistic destinations for use in practical situations. One such general method is a spatial search based on limited information such as the name of the target object or a photograph of the destination. However, if the rough location of the destination is known from the viewpoint of an instructor, and can be communicated to the robot, then it is possible to reduce the search load on the robot. Therefore, in this study, we propose a new task that integrates the pointed instructions of an operator using and augmented reality device into the robot's search route. However, the instructor may not be able to point directly to the route if it is within a blind spot. Thus, we propose a combined search method;where the pointing path is represented as a set of vectors rather than a sequence of points and used to generate a potential field which is integrated with an existing traditional robot navigation method. In this study, we evaluate the proposed method in an experiment using the 3D simulator Habitat, and show that the proposed method outperforms existing methods under the pointing path information.
The determination of destinations and paths is a critical aspect of robot navigation. In recent years, research has been conducted on methods to provide robots with realistic destinations for use in practical situatio...
详细信息
The determination of destinations and paths is a critical aspect of robot navigation. In recent years, research has been conducted on methods to provide robots with realistic destinations for use in practical situations. One such general method is a spatial search based on limited information such as the name of the target object or a photograph of the destination. However, if the rough location of the destination is known from the viewpoint of an instructor, and can be communicated to the robot, then it is possible to reduce the search load on the robot. Therefore, in this study, we propose a new task that integrates the pointed instructions of an operator using and augmented reality device into the robot's search route. However, the instructor may not be able to point directly to the route if it is within a blind spot. Thus, we propose a combined search method; where the pointing path is represented as a set of vectors rather than a sequence of points and used to generate a potential field which is integrated with an existing traditional robot navigation method. In this study, we evaluate the proposed method in an experiment using the 3D simulator Habitat, and show that the proposed method outperforms existing methods under the pointing path information.
This paper proposes a “human-in-the-loop design structure matrix (DSM)” method for understanding and reorganizing the structures of multiple cyber-physical systems (CPSs), focusing on user activities. By incorporati...
详细信息
This paper proposes a “human-in-the-loop design structure matrix (DSM)” method for understanding and reorganizing the structures of multiple cyber-physical systems (CPSs), focusing on user activities. By incorporating user activities as integral components in system engineering techniques, this method contributes to the design literature on human-in-the-loop CPS. Using the illustrative case of a smart home, we obtained the following types of clusters to review the structure and cyber-physical configurations of CPSs: clusters that retain the target user activity, clusters decoupled from the target user activity, and clusters across two different user activities. In the second type, we found a hub cluster regarding the cyber process of notifications to users, which enabled diverse data utilization among the clusters.
The labor cost has been one of the main reasons for industry to move some of the production to so called low-cost countries. Research has shown that this issue is more complex than just calculate labor cost as main dr...
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The labor cost has been one of the main reasons for industry to move some of the production to so called low-cost countries. Research has shown that this issue is more complex than just calculate labor cost as main driver. Organization culture, research and development and technical competence is also important drivers for a successful automation strategy. Another important factor when it comes to automation strategies is what production parameters to consider choosing the right automation. Traditionally five parameters have been considered i.e. Volume, batch sizes, variants, investment cost and labor cost. With new and cheaper solutions for automation these two views on automation and low-cost production need to be considered and changed. This paper will describe three demonstrators using low-cost automation solutions to automate simple tasks in final assembly systems. The stations' investment cost is all below 50,000 euro. The first demonstrators have been set up and tested in a lab environment. The results show a high precision, easiness in programming and high quality. The aim is to test this further in real industrial environment to stress the system and to put it into a tougher environment. Copyright (C) 2020 The Authors.
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