To make the process-specific programming of robotic and technical systems more efficient, we introduce the concept of a novel software framework to enable intuitive configuration of cooperative process flows for multi...
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In this paper, we describe the application of iFlow, a no-code programming platform, in visualizing foundational computational thinking (CT) as a precursor to learning disciplinary concepts. Research shows that it is ...
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ISBN:
(纸本)9789869721486
In this paper, we describe the application of iFlow, a no-code programming platform, in visualizing foundational computational thinking (CT) as a precursor to learning disciplinary concepts. Research shows that it is possible to learn both science concepts and computational skills through building computer simulations and solutions of problems related to natural phenomena. CT could be operationally defined as the cognitive processes involved in problem formulation, in which its solutions could be effectively carried out by an information-processing agent (Wing, 2010). We introduce two modules as examples to facilitate the visualization of computational processes that are frequently adopted in teaching physical sciences. The first module was designed for students to analyze and evaluate data, and the second module allowed students to generate simulated data and scaffold questions to predict testable outcomes. In this workshop, we will demonstrate how to use iFlow to teach data analysis and problem evaluation that takes advantage of the no-code programming by means of the functional blocks, which contain operational codes to vividly visualize the input, process, and output.
To make the process-specific programming of robotic and technical systems more efficient, we introduce the concept of a novel software framework to enable intuitive configuration of cooperative process flows for multi...
详细信息
To make the process-specific programming of robotic and technical systems more efficient, we introduce the concept of a novel software framework to enable intuitive configuration of cooperative process flows for multiple systems. Our concept allows both the easy programming of systems and the generation of process flows with multiple systems to enable cooperation between them. Following the idea of Operator 4.0 our framework thus enables non-expert workers of industrial companies to effectively control the process flows of a production or logistical process with minimal training effort and costs. In this paper, we first analyze existing software frameworks that facilitate graphical programming and differentiate our approach from them. We explain in detail how our approach conceptually and technically works regarding the framework´s technical architecture, system requirements, interface design, user assistance methods based on digital twin and data analysis, as well as interaction patterns. We validate the functionality and generality of our software framework by integrating two systems of different manufacturers – a collaborative robot and a robotic gripper – into our framework and discuss the technical capabilities of our prototype. In addition, the interaction of unskilled workers and our framework will be compared to an industrial robot teach pendant in a case study in which the participants had to create a pick-and-place process flow.
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