| Human motion behavior while interacting with an industrial robot. | |
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MedLine Citation:
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PMID: 22316958 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Human workers and industrial robots both have specific strengths within industrial production. Advantageously they complement each other perfectly, which leads to the development of human-robot interaction (HRI) applications. Bringing humans and robots together in the same workspace may lead to potential collisions. The avoidance of such is a central safety requirement. It can be realized with sundry sensor systems, all of them decelerating the robot when the distance to the human decreases alarmingly and applying the emergency stop, when the distance becomes too small. As a consequence, the efficiency of the overall systems suffers, because the robot has high idle times. Optimized path planning algorithms have to be developed to avoid that. The following study investigates human motion behavior in the proximity of an industrial robot. Three different kinds of encounters between the two entities under three robot speed levels are prompted. A motion tracking system is used to capture the motions. Results show, that humans keep an average distance of about 0,5m to the robot, when the encounter occurs. Approximation of the workbenches is influenced by the robot in ten of 15 cases. Furthermore, an increase of participants' walking velocity with higher robot velocities is observed. |
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Authors:
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Dino Bortot; Hao Ding; Alexandros Antonopolous; Klaus Bengler |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Work (Reading, Mass.) Volume: 41 ISSN: 1875-9270 ISO Abbreviation: Work Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-02-09 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9204382 Medline TA: Work Country: Netherlands |
Other Details:
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Languages: eng Pagination: 1699-707 Citation Subset: IM |
Affiliation:
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Institute of Ergonomics, Technische Universität München, Boltzmannstraße 15, 85747 Garching bei München, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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