Abstract
The use of robotic palletizing systems has been increasing in the so-called Fast Moving Consumer Goods (FMCG) industry. However, because of the type of solutions developed, focused on high performance and efficiency, the degree of adaptability of packaging solutions from one type of product to another is extremely low. This is a relevant problem, since companies are changing their production processes from low variety/high volume to high variety/low volume. This environment requires companies to perform the setup of their robots more frequently, which has been leading to the need to use offline programming tools that decrease the required robot stop time. This work addresses these problems and, in this paper, is described the solution proposed for the automated offline development of collision free robot programs for palletizing applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Yaman, H., Sen, A.: Manufacturer’s mixed pallet design problem. Eur. J. Oper. Res. 186, 826–840 (2008)
Yu, S., Lim, S., Kang, M., Han, C., Kim, S.: Off-line robot palletizing simulator using optimized pattern and trajectory generation algorithm. In: 2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Zurich, pp. 1–6 (2007)
Lim, S., Yu, S., Han, C., Kang, M.: Palletizing simulator using optimized pattern and trajectory generation algorithm. In: Di Paola, A.M.D., Cicirelli, G. (eds.) Mechatronic Systems Applications. InTech. (2010)
Zhang, L., et al.: Layout analysis and path planning of a robot palletizing production line. In: 2008 IEEE International Conference on Automation and Logistics, Qingdao, pp. 2420–2425 (2008)
Scheurer, C., Zimmermann, U.E.: Path planning method for palletizing tasks using workspace cell decomposition. In: 2011 IEEE International Conference on Robotics and Automation, Shanghai, pp. 1–4 (2011)
Chiba, R., Arai, T., Ueyama, T., Ogata, T., Ota, J.: Working environment design for effective palletizing with a 6-DOF manipulator. Int. J. Adv. Robot. Syst. 13, 1–8 (2016)
Luan, N., Zhang, H., Tong, S.: Optimum motion control of palletizing robots based on iterative learning. Ind. Robot Int. J. 39(2), 162–168 (2012). https://doi.org/10.1108/01439911211201627
Tavares, P., Lima, J., Costa, P.: Double A* path planning for industrial manipulators. In: Robot 2015: Second Iberian Robotics Conference: Advances in Robotics, Lisbon, vol. 2, pp. 119–130 (2016)
Acknowledgements
This work is financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation – COMPETE 2020 under the PORTUGAL 2020 Partnership Agreement, and through the Portuguese National Innovation Agency (ANI) as a part of project AdaptPack — POCI-01-0247-FEDER-017887.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Silva, R., Rocha, L.F., Relvas, P., Costa, P., Silva, M.F. (2018). Offline Programming of Collision Free Trajectories for Palletizing Robots. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-70836-2_56
Download citation
DOI: https://doi.org/10.1007/978-3-319-70836-2_56
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70835-5
Online ISBN: 978-3-319-70836-2
eBook Packages: EngineeringEngineering (R0)