RAPID: A Rapid Prototyping Platform for Industrial Automation

Authors

  • Sunghoon Hong LG AI Research
  • Junseok Park LG AI Research
  • Whiyoung Jung LG AI Research
  • Deunsol Yoon LG AI Research
  • Woohyung Lim LG AI Research
  • Soonyoung Lee LG AI Research
  • Kanghoon Lee LG AI Research

DOI:

https://doi.org/10.1609/aaai.v40i48.42353

Abstract

Industrial automation in smart logistics and factories requires simulation platforms that support rapid environment building before costly physical deployment. Yet existing tools often require substantial expertise, complex setup, and long configuration times, hindering agile prototyping. We present RAPID, a simulation platform with two components: layout design, which enables intuitive visual configuration of factory layouts, and behavior simulation and validation, which allows users to attach behavior models and evaluate system performance. RAPID lowers the entry barrier to industrial simulation, letting users apply existing behavior models or trained reinforcement learning (RL) agents to new layouts with minimal effort. This approach lets practitioners prototype facilities in minutes rather than weeks and gives researchers a standardized environment for benchmarking multi-agent RL and coordination algorithms. By combining rapid design with simulation-based validation, RAPID accelerates automation development from concept to implementation.

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Published

2026-03-14

How to Cite

Hong, S., Park, J., Jung, W., Yoon, D., Lim, W., Lee, S., & Lee, K. (2026). RAPID: A Rapid Prototyping Platform for Industrial Automation. Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 41601–41603. https://doi.org/10.1609/aaai.v40i48.42353