Andrew Tinka — accepted AI-conference papers

2021

Lifelong Multi-Agent Path Finding in Large-Scale Warehouses

Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig

AAAI 2021technical

Multi-Agent Path Finding (MAPF) is the problem of moving a team of agents to their goal locations without collisions. In this paper, we study the lifelong variant of MAPF, where agents are constantly engaged with new goal locations, such as in large-scale automated warehouses. We propose a new frame…

Cited by 334 Source ↗PDF ↗code ↗Scholar ↗

2019

Persistent and Robust Execution of MAPF Schedules in Warehouses

Wolfgang Hönig, Scott Kiesel, Andrew Tinka, Joseph W. Durham, Nora Ayanian

RA-L 2019

Multi-agent path finding (MAPF) is a well-studied problem in artificial intelligence that can be solved quickly in practice when using simplified agent assumptions. However, real-world applications, such as warehouse automation, require physical robots to function over long time horizons without col

Cited by 132 Source ↗Scholar ↗