Multi-Agent Path Finding

Also known as MAPF

Overview

Multi-agent path finding studies how to route agents to their goals without collisions, often minimizing travel cost or completion time; in lifelong settings, agents repeatedly receive new tasks. Classical methods include Conflict-Based Search and space-time search for high-quality or optimal plans, while prioritized planning, PIBT, and LaCAM trade some solution quality for scalability. Other approaches use learning, local communication, optimization, or hybrid methods that combine fast planning with conflict repair, and many now address task assignment, congestion, and execution on real robots. A central tension is balancing guarantees and realistic motion or disturbances against the speed and scale needed for dense fleets.

Latest papers

CardsList

93 papers13 papers in the last four weeks, up 44% on the four weeks before. 0.1% of all new papers.

  1. Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding

    May 8, 2026Valeriy Vyaltsev, Alsu Sagirova, Anton Andreychuk +5Multi-Agent CoordinationRobust MAPF

  2. Optimized and kinematically feasible multi-agent motion planning

    May 3, 2026Anja Hellander, Kristoffer Bergman, Daniel AxehillConstrained Motion PlanningTrajectory Optimization

  3. Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution

    Apr 28, 2026David Zahrádka, David Woller, Denisa Mužíková +2Robust MAPFMulti-Agent Path Finding

  4. Scalable Algorithms with Provable Optimality Bounds for the Multiple Watchman Route Problem

    Apr 17, 2026Srikar Gouru, Ariel Felner, Jiaoyang LiMulti-Robot Motion PlanningMulti-Agent Path Finding

  5. Karma Mechanisms for Decentralised, Cooperative Multi Agent Path Finding

    Apr 9, 2026Kevin Riehl, Julius Schlapbach, Anastasios Kouvelas +1Multi-Agent Path FindingMechanism Design

  6. Train-Small Deploy-Large: Leveraging Diffusion-Based Multi-Robot Planning

    Apr 8, 2026Siddharth Singh, Soumee Guha, Qing Chang +1Multi-Robot Motion PlanningMulti-Agent Path Finding

  7. Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization

    Apr 7, 2026Hongkai Fan, Qinjing Xie, Bo Ouyang +4Safe Interval Path PlanningMulti-Agent Path Finding

  8. Certificate-Driven Closed-Loop Multi-Agent Path Finding with Inheritable Factorization

    Apr 1, 2026Jiarui Li, Runyu Zhang, Gioele ZardiniMulti-Agent Path FindingConflict-Based Search

  9. CREST: Constraint-Release Execution for Multi-Robot Warehouse Shelf Rearrangement

    Mar 27, 2026Jiaqi Tan, Yudong Luo, Sophia Huang +2Multi-Robot SystemsRobotics

  10. Relaxing Constraints in Anonymous Multi Agent Path Finding for Large Agents

    Mar 25, 2026Stepan Dergachev, Dmitry AvdeevMulti-Agent Path FindingConstrained Motion Planning

  11. Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation

    Mar 25, 2026Han Zheng, Yining Ma, Brandon Araki +2Warehouse AutomationMulti-Agent Path Finding

  12. Planning over MAPF Agent Dependencies via Multi-Dependency PIBT

    Mar 24, 2026Zixiang Jiang, Yulun Zhang, Rishi Veerapaneni +1Kinodynamic Motion PlanningMotion Planning

  13. Optimal Path Planning in Hostile Environments

    Mar 19, 2026Andrzej Kaczmarczyk, Šimon Schierreich, Nicholas Axel Tanujaya +1Multi-Agent Path FindingGraph-Based Planning

  14. Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions

    Mar 19, 2026Xuemian Wu, Shizhe Zhao, Zhongqiang RenMulti-Agent Path FindingConflict-Based Search

  15. Conflict Mitigation in Shared Environments using Flow-Aware Multi-Agent Path Finding

    Mar 13, 2026Lukas Heuer, Yufei Zhu, Luigi Palmieri +4Multi-Robot Motion PlanningMulti-Agent Path Finding

  16. GRACE: A Unified 2D Multi-Robot Path Planning Simulator & Benchmark for Grid, Roadmap, And Continuous Environments

    Mar 11, 2026Chuanlong Zang, Anna Mannucci, Isabelle Barz +3Multi-Robot Motion PlanningMulti-Agent Path Finding

  17. Decoupling Geometric Planning and Execution in Scalable Multi-Agent Path Finding

    Mar 11, 2026Fernando Salanova, Eduardo Montijano, Cristian MahuleaMulti-Agent PlanningMulti-Agent Path Finding

  18. A Lightweight Traffic Map for Efficient Anytime LaCAM*

    Mar 9, 2026Bojie Shen, Yue Zhang, Zhe Chen +1Multi-Agent Path Finding

  19. Optimization of Edge Directions and Weights for Mixed Guidance Graphs in Lifelong Multi-Agent Path Finding

    Feb 26, 2026Yulun Zhang, Varun Bhatt, Matthew C. Fontaine +2Multi-Agent Path Finding

  20. Conflict-Based Search for Multi-Agent Path Finding with Elevators

    Feb 24, 2026Haitong He, Xuemian Wu, Shizhe Zhao +1Conflict-Based SearchMulti-Agent Path Finding

  21. Adaptive-Horizon Conflict-Based Search for Closed-Loop Multi-Agent Path Finding

    Feb 12, 2026Jiarui Li, Federico Pecora, Runyu Zhang +1Conflict-Based SearchMulti-Agent Path Finding

  22. Precomputing Multi-Agent Path Replanning Using Temporal Flexibility

    Jan 8, 2026Issa Hanou, Eric Kemmeren, Devin Wild Thomas +1Safe Interval Path PlanningMulti-Agent Path Finding

  23. From Discrete Plans to Real-World Execution: A World-Model-Driven Framework for Execution-Aware Multi-Agent Path Finding

    Nov 26, 2025Jingtian Yan, Shuai Zhou, He Jiang +2Multi-Robot Motion PlanningWorld Models for Robotics

  24. Continuous-Space Roadmap Generation for Mobile Robot Fleets with Distance Constraints and Geometry-Aware Discretization

    Nov 10, 2025Marvin Rüdt, Constantin Enke, Kai FurmansMulti-Robot Motion PlanningConstrained Motion Planning