Automatic selection of ergonomie indicators for the design of collaborative robots: A virtual-human in the loop approach - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Automatic selection of ergonomie indicators for the design of collaborative robots: A virtual-human in the loop approach

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Abstract

The growing number of musculoskeletal disorders in industry could be addressed by the use of collaborative robots, which allow the joint manipulation of objects by both a robot and a person. Designing these robots requires to assess the ergonomie benefit they offer. However there is a lack of adapted assessment methods in the literature. Many biomechanical quantities can represent the physical solicitations to which the worker is exposed, but their relevance strongly depends on the considered task. This paper presents a method to automatically select relevant ergonomie indicators for a given task to be performed with a collaborative robot. A virtual human simulation is used to estimate thirty indicators for varying human and robot features. A variance-based analysis is then conducted to extract the most discriminating indicators. The method is validated on several different tasks. The relevance of the proposed approach is confirmed by the obtained results.

Dates and versions

cea-01840422 , version 1 (16-07-2018)

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Cite

P. Maurice, Ph. Schlehuber, Vincent Padois, Y. Measson, Philippe Bidaud. Automatic selection of ergonomie indicators for the design of collaborative robots: A virtual-human in the loop approach. 2014 IEEE-RAS International Conference on Humanoid Robots, Nov 2015, Madrid, Spain. pp.801-808, ⟨10.1109/HUMANOIDS.2014.7041455⟩. ⟨cea-01840422⟩
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