Multi-agent pathfinding (MAPF) is a well-studied abstract model for navigation in a multi-
robot system, where every robot finds the path to its goal position without any collision. Due …

In the multi-agent pathfinding problem (MAPF) we are given a set of agents each with
respective start and goal positions. The task is to find paths for all agents while avoiding …

The task in the multi-agent path finding problem (MAPF) is to find paths for multiple agents,
each with a different start and goal position, such that agents do not collide. A successful …

Abstract Conflict-Based Search (CBS) and its generalization, Meta-Agent CBS are amongst
the strongest newly introduced algorithms for Multi-Agent Path Finding. This paper …

Planning optimal paths for large numbers of robots is computationally expensive. In this
paper, we introduce a new framework for multirobot path planning called subdimensional …

Multi-agent pathfinding (MAPF) is an area of expanding research interest. At the core of this
research area, numerous diverse search-based techniques were developed in the past 6 …

Abstract Conflict-Based Search (CBS) and its enhancements are among the strongest
algorithms for the multi-agent path-finding problem. However, existing variants of CBS do …

When solving instances of problem domains that feature a large branching factor, A* may
generate a large number of nodes whose cost is greater than the cost of the optimal solution …

Abstract This paper presents Goal Assignment and Planning: a computationally tractable,
complete algorithm for generating dynamically feasible trajectories for NN interchangeable …

Nanobiotechnology is an emerging science concerned with the integration of biological
principles with nanotechnology to improve the strategies for nanoparticles synthesis and …