Online Planning to Control a Packaging Infeed System

Authors

  • Minh Do Palo Alto Research Center
  • Lawrence Lee Palo Alto Research Center
  • Rong Zhou Palo Alto Research Center
  • Lara Crawford Palo Alto Research Center
  • Serdar Uckun Palo Alto Research Center

DOI:

https://doi.org/10.1609/aaai.v25i2.18852

Abstract

In this paper, we investigate a novel application of online planning and scheduling: controlling an automated infeeder for a packaging line of food and consumer packaged goods. In this system, products arrive continuously at high-speed from the end of the production line and need to be arranged into a specific configuration for downstream primary and secondary packaging machines. In collaboration with a domain expert from the packaging industry, we developed an innovative design for a reconfigurable parallel infeed system using a matrix of interchangeable smart belts. We also adapted our online model-based Plantrol planner to this domain. Our planner can control various configurations of the new in-feed system through simulation both in nominal planning and when runtime failures occur. We are also building a small physical prototype to validate the new design and our sofeware framework.

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Published

2011-08-11

How to Cite

Do, M., Lee, L., Zhou, R., Crawford, L., & Uckun, S. (2011). Online Planning to Control a Packaging Infeed System. Proceedings of the AAAI Conference on Artificial Intelligence, 25(2), 1636-1641. https://doi.org/10.1609/aaai.v25i2.18852