The League of Robot Runners: Competition Goals, Designs, and Implementation

Best System Demonstration Award Honorable Mention of ICAPS 2024
Shao-Hung Chan, Zhe Chen, Teng Guo, Han Zhang, Yue Zhang, Daniel Harabor, Sven Koenig, Cathy Wu, and Jingjin Yu.
ICAPS 2024 System’s Demonstration Track, in print, 2024.
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@inproceedings{ChanICAPS24,
  author    = {Shao-Hung Chan and Zhe Chen and Teng Guo and Han Zhang and Yue Zhang and Daniel Harabor and Sven Koenig and Cathy Wu and Jingjin Yu},
  title     = {The League of Robot Runners: Competition Goals, Designs, and Implementation},
  booktitle = {ICAPS 2024 System's Demonstration track},
  year      = {2024}
}

Abstract

Multi-Agent Path Finding (MAPF) is an important practical problem found in many application settings, from logistics and transportation to robotics and automation. In this paper, we introduce the goals, designs and implementations of the League of Robot Runners (LoRR) 1, a competition to foster and advance this research area. LoRR aims to identify the core challenges for solving MAPF, develop suitable benchmark instances, evaluate algorithmic performance and track the state-of-the-art. The competition provides participants with a standardised system to develop, evaluate, and compare algorithmic techniques. Submissions, solutions and problem instances are all open sourced, to lower barriers, promote dissemination and enable further advancements.