Standardized data formats for flexible human-robot-collaboration at a multi-workstation assembly table
Abstract
In the process of industrial automatization, collaborative robots are becoming an increasingly important tool in a wide range of industries. The robot assists humans in strenuous and repetitive tasks, in order to increase the productivity and well-being of the worker. The concept presented in this paper focuses on a flexible assistance function of a robot for multiple workstations simultaneously and incorporates different human-machine-interaction approaches. Therefore, an assembly table (Figure 2) with the possibility to study different concepts for one robot at the same time is designed and constructed. Aspects like ergonomics and safety are considered in the design. Additionally, a standardized data format that enables users and developers to control the robot through peripheral devices is created. As an example, gesture and voice control are discussed and evaluated.
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Author Biographies
Daniel Brand decided in 2014, after his successful training as a carpenter, to start studying Aerospace Technology at the City University of Applied Sciences Bremen. During his studies he worked as an assistant student at the “Bremer Institut für angewandte Strahltechnik” (BIAS) and wrote his thesis in the field of laser chemistry. After graduating with a B.Eng. degree in 2017, he immediately began his M.Sc. studies in Aerospace Technology at the City University of Applied Sciences Bremen and specialized in the space sector. He also works as an assistant student at the university itself. Graduation is expected at the beginning of 2020.
Niels Benthin received his B.Sc. degree in Mechanical Engineering with a specialization in “Development and Design” at the University of Applied Sciences Lübeck. At present, he is enrolled at the Department of Nature and Engineering at the Hochschule Bremen City University of Applied Sciences and expects to attain his M.Eng. degree in Mechanical Engineering by 2020. Currently, he is collaborating on a research project about the digitization of production together with fellow students and research assistants. Specifically, the focus of the project is on robotics and digital production planning - from concept development through to practical implementation.
Marvin Bohl received his B. Eng. degree in Mechanical Engineering from Hochschule Bremen, City University of Applied Sciences, in 2018. He is currently in the process of preparing his master thesis in cooperation with ArianeGroup. Before studying he completed a professional training as an industrial mechanic and worked in this profession for more than six years. Besides the studies he has been a research assistant at the German Research Center for Artificial Intelligence (DFKI).
Copyright (c) 2019 Daniel Brand, Niels Benthin, Marvin Bohl
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