activity
20162026
most citedOverview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios

91 citations · 190 across the 23 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.MA2025

Empirical Hardness in Multi-Agent Pathfinding: Research Challenges and Opportunities

Jingyao Ren, Eric Ewing, T. K. Satish Kumar +2

Multi-agent pathfinding (MAPF) is the problem of finding collision-free paths for a team of agents on a map. Although MAPF is NP-hard, the hardness of solving individual instances…

cs.RO2025

Connectivity Maintenance and Recovery for Multi-Robot Motion Planning

Yutong Wang, Lishuo Pan, Yichun Qu +2

Connectivity is crucial in many multi-robot applications, yet balancing connectivity maintenance and fleet traversability in obstacle-rich environments remains challenging. Reactiv…

cs.MA2025

Multi-Agent Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees

Kegan J. Strawn, Thomy Phan, Eric Wang +3

Existing multi-agent path finding (MAPF) solvers do not account for uncertain behavior of uncontrollable agents. We present a novel variant of Enhanced Conflict-Based Search (ECBS)…

cs.RO2025

Robust Trajectory Generation and Control for Quadrotor Motion Planning with Field-of-View Control Barrier Certification

Lishuo Pan, Mattia Catellani, Lorenzo Sabattini +1

Many approaches to multi-robot coordination are susceptible to failure due to communication loss and uncertainty in estimation. We present a real-time communication-free distribute…

cs.RO2025

Hierarchical Trajectory (Re)Planning for a Large Scale Swarm

Lishuo Pan, Yutong Wang, Nora Ayanian

We consider the trajectory replanning problem for a large-scale swarm in a cluttered environment. Our path planner replans for robots by utilizing a hierarchical approach, dividing…