Jun 1, 2024 · This paper studies robust and effective execution of multi-agent path plans under uncertainty. To guarantee conflict-freeness and deadlock- ...

This paper studies robust and effective execution of multi-agent path plans under uncer- tainty. To guarantee conflict-freeness and deadlock-freeness, we define ...

Oct 22, 2024 · This paper studies robust and effective execution of multi-agent path plans under uncertainty. To guarantee conflict-freeness and deadlock- ...

Mar 7, 2021 · We propose two complete and optimal algorithms for finding safe solutions based on well-known MAPF algorithms, namely, A* with Operator Decomposition (A* + OD) ...

Multi-Agent Path Execution with uncertainty is a unique framework that is versatile and ideal for situations where unforeseen delays complicate path ...

Sensing in our context is the abilityof an agent to observe, during execution, its current time and location. ... Safe Multi-Agent Pathfinding with Time ...

The key con- straint is that agents must not occupy the same vertex or traverse the same edge at the same time during plan execution. A solution to a MAPF ...

Jul 8, 2023 · In multi-agent path finding (MAPF), agents must move from their current positions to their target positions without colliding.

This work develops a multi-agent path planner that considers uncertainty, called uncertainty M* (UM*), which is based on a prior multi- agent path approach ...

Aug 26, 2024 · Multi-Agent Path Finding (MAPF) is an important optimization problem underlying the deployment of robots in automated warehouses and factories.