4 citations · 7 across the 5 of their papers we have counts for
Showing cs.MAShow all
3 papers · 1 filter
cs.MA2025
MAPF-HD: Multi-Agent Path Finding in High-Density Environments
Hiroya Makino, Seigo Ito
Multi-agent path finding (MAPF) involves planning efficient paths for multiple agents to move simultaneously while avoiding collisions. In typical warehouse environments, agents ar…
cs.MA2024★ 4 cited
Online Multi-Agent Pickup and Delivery with Task Deadlines
Hiroya Makino, Seigo Ito
Managing delivery deadlines in automated warehouses and factories is crucial for maintaining customer satisfaction and ensuring seamless production. This study introduces the probl…
cs.MA2024★ 3 cited
MARPF: Multi-Agent and Multi-Rack Path Finding
Hiroya Makino, Yoshihiro Ohama, Seigo Ito
In environments where many automated guided vehicles (AGVs) operate, planning efficient, collision-free paths is essential. Related research has mainly focused on environments with…