The Multi-Agent Path Finding (MAPF) problem entails finding collision-free paths for a set of
agents, guiding them from their start to goal locations. However, MAPF does not account for …

多智能体路径搜寻(Multi-agent Path Finding, MAPF) 问题是多智能体系统中的核心基本问题,
被广泛应用于自动化智能仓储, 自动驾驶, 群体机器人等实际场景. 从问题属性来看 …

We propose a generic multi-robot planning mechanism that combines an optimal task
planner and an optimal path planner to provide a scalable solution for complex multi-robot …

We present an end-to-end system for automatically deploying an Autonomous Mobile Robot
(AMR) in a warehouse for point-to-point transportation tasks. Our approach includes creating …

We propose a distributed method for a multi-agent pick-up and delivery problem with
fluctuations in agent movement speeds while agents perform planning, detect and resolve …

Virtualization is the mechanism of creating virtual representations of physical resources. It is
now integrated into almost every facet of computing and is pervasive on the Internet: ranging …

Orchestrating warehouse sorting robots each transporting a single package from the
conveyor belt to its destination is a NP-hard problem, often modeled Multi-agent path-finding …

Deadlock is always a challenging problem for multi-agent pathfinding, especially when the
system is in high scales in terms of number of agents and map size. Some recent studies …

Multi-robot path planning (MRPP) is a task of planning collision free paths for a group of
robots in a graph. Each robot starts in its individual starting vertex and its task is to reach a …

We propose a method called path and action planning with orientation (PAPO) that
efficiently generates collision-free paths to satisfy environmental constraints, such as …