Adaptive assembly sequence planning with respect to ergonomic work conditions
Adaptive assembly sequence planning with respect to ergonomic work conditions
复制标题
根据人体工学工作条件进行自适应装配顺序规划
DOI:
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复制
发表时间:
2015
期刊:
影响因子:
--
通讯作者:
C. Schlick
中科院分区:
文献类型:
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作者:
Marco Faber;J. Bützler;C. Schlick
The rapidly growing variety within the product range demands extensive planning efforts from producing companies. For providing a more flexible automatic control system, a cognitively automated system consisting of a Cognitive Control Unit (CCU) and a Graph-based Assembly Sequence Planner (GASP) has been developed. Based on the product specification and the stored generic process knowledge, the assembly sequence is optimised with respect to ergonomics and human-robot cooperation. Thereby, the corresponding control commands for the assembly robot are derived autonomously. In the presented work, a simulation study was performed focusing at a reduction of the changes between the human operator and the assembly robot to decrease potential work induced strain and safety-critical situations. A model of a Stromberg carburettor was assembled cooperatively by both the human operator and the assembly robot using a gripper and a power screwdriver. Due to the planning of the assembly sequence, the GASP could achieve a significant reduction of the humanrobot changes. Moreover, the number of changes between the robotic tools could be decreased significantly resulting in a more transparent and fluent assembly process. In conclusion, the simulation study has revealed that the ergonomic work conditions can be improved by choosing the right assembly sequence at runtime by means of the GASP. Practitioner Summary: Regarding the globalised world economy and the growing variety of products in product range, it is crucial for producing companies to minimise their none value adding efforts. As many products will not be assembled completely autonomously any soon, it is advisable to let the human operator cooperate with suitable robots. The presented work provided evidence, that a cognitively automated control system can be used to optimise the ergonomic work conditions for the human operator in situations of human-robot cooperation.
DOI:
10.1002/hfm.20390
发表时间:
2014-05
影响因子:
2.4
作者:
M. Mayer;Barbara Odenthal;Marco Faber;C. Winkelholz;Christopher M. Schlick
通讯作者:
M. Mayer;Barbara Odenthal;Marco Faber;C. Winkelholz;Christopher M. Schlick