arXiv:2109.08299
Flexible and Explainable Solutions for Multi-Agent Path Finding Problems
원문 초록
The multi-agent path finding (MAPF) problem is a combinatorial search problem that aims at finding paths for multiple agents (e.g., robots) in an environment (e.g., an autonomous warehouse) such that no two agents collide with each other, and subject to some constraints on the lengths of paths. The real-world applications of MAPF require flexibility (e.g., solving variations of MAPF) as well as explainability. In this study, both of these challenges are addressed and some flexible and explainable solutions for MAPF and its variants are introduced.
함께 살펴볼 논문
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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.