Matching jobs to robots in real time
A warehouse fleet is constantly generating new pick-and-carry jobs as orders come in, and it needs to decide, continuously, which robot handles which job next. The obvious factor is proximity: sending the nearest idle robot to a pick location cuts down travel time. But proximity alone is a poor rule on its own. A nearby robot might already be carrying a load, might be close to a scheduled charging window, or might be at the far end of a congested aisle that will take longer to clear than a robot that is slightly further away but has a clear path.
A workable task allocator has to weigh proximity alongside battery level, current load or task queue, and even the traffic conditions the coordination layer already knows about. Assigning a job to whichever robot is nearest by straight-line distance can easily create worse outcomes than assigning it to a robot that is a little further but genuinely available and unobstructed.