Multi-Agent Path Finding with Deadlines
원문 초록
We formalize Multi-Agent Path Finding with Deadlines (MAPF-DL). The objective is to maximize the number of agents that can reach their given goal vertices from their given start vertices within the deadline, without colliding with each other. We first show that MAPF-DL is NP-hard to solve optimally. We then present two classes of optimal algorithms, one based on a reduction of MAPF-DL to a flow problem and a subsequent compact integer linear programming formulation of the resulting reduced abstracted multi-commodity flow network and the other one based on novel combinatorial search algorithms. Our empirical results demonstrate that these MAPF-DL solvers scale well and each one dominates the other ones in different scenarios.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower Bounds
SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
Simultaneous Computation with Multiple Prioritizations in Multi-Agent Motion Planning
Graph Coloring to Reduce Computation Time in Prioritized Planning
Multi-Agent Motion Planning For Differential Drive Robots Through Stationary State Search
Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions
토론
이 논문과 연결된 포럼 글이 아직 없습니다.