Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-018-1411-1.pdf
Reference45 articles.
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2. Bänziger, T., Kunz, A., & Wegener, K. (2018). Simulation of the human–robot cooperation in automotive assembly lines based on MTM. https://doi.org/10.6084/m9.figshare.5743314 . https://figshare.com/s/35b5a5d311f6930ec3f3 . Accessed January 1, 2018.
3. Bochmann, L., Bänziger, T., Kunz, A., & Wegener, K. (2017). Human–robot collaboration in decentralized manufacturing systems: An approach for simulation-based evaluation of future intelligent production. In CIRP conference on intelligent computation in manufacturing engineering (Vol. 62, pp. 624–629). https://doi.org/10.1016/j.procir.2016.06.021 .
4. Chen, F., Sekiyama, K., Cannella, F., & Fukuda, T. (2014). Optimal subtask allocation for human and robot collaboration within hybrid assembly system. In Proceedings of the IEEE transactions on automation science and engineering (pp. 1065–1075). https://doi.org/10.1109/TASE.2013.2274099 .
5. Chen, F., Sekiyama, K., & Fukuda, T. (2012). A genetic algorithm for subtask allocation within human and robot coordinated assembly. In International symposium on micro-nanomechatronics and human science (MHS) (pp. 507–511). https://doi.org/10.1109/MHS.2012.6492504 .
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