Multi-agent path finding (MAPF) is an abstract model for the navigation of multiple robots in
warehouse automation, where multiple robots plan collision-free paths from the start to goal …

The learning-based approach has been proved to be an effective way to solve multi-agent
path finding (MAPF) problems. For large warehouse systems, the distributed strategy based …

Path planning can guarantee that agents reach their goals without colliding with obstacles
and other agents in an optimal way and it is a very important component in the research of …

We formalize the problem of multi-agent path finding with time windows (MAPF-TW). The
optimization objective is to maximize the average customer satisfaction for all agents when …

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 …

Path finding for human-operated vehicles in a maritime container terminal can be very
demanding, especially when pursued under dynamic traffic conditions and based on …

Since 2019, the COVID-19 virus has spread worldwide, posing a significant health and
safety concern. The application of mobile robots in the medical field has gradually …

Intelligent warehouse based on the multi-robot system significantly improves logistics
efficiency. Completing orders usually includes order task assignment and multi-robot path …

Multi-agent target assignment and path planning (TAPF) are two key problems in intelligent
warehouses. However, most literature only addresses one of these two problems separately …