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X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs

  • Published:2021-02 Issue: Volume:291 Page:103417
  • ISSN:0004-3702
  • Container-title:Artificial Intelligence
  • language:en
  • Short-container-title:Artificial Intelligence

Author:

Vedder Kyle,Biswas Joydeep

Funder

National Science Foundation

Air Force Research Laboratory

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference67 articles.

1. Multi-agent pathfinding: definitions, variants, and benchmarks;Stern,2019

2. Cooperative pathfinding;Silver,2005

3. Subdimensional Expansion: A Framework for Computationally Tractable Multirobot Path Planning;Wagner,2015

4. Conflict-based search for optimal multi-agent pathfinding;Sharon;Artif. Intell.,2015

5. Anytime focal search with applications;Cohen,2018

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1. Adaptive Lifelong Multi-Agent Path Finding With Multiple Priorities;IEEE Robotics and Automation Letters;2024-06

2. A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees;Artificial Intelligence;2024-04

3. An overview of mobile robot navigation technology;SCIENTIA SINICA Informationis;2023-12-01

4. A TSP-Based Online Algorithm for Multi-Task Multi-Agent Pickup and Delivery;IEEE Robotics and Automation Letters;2023-09

5. Iterative Refinement via Adaptive Subproblem Generation Algorithm (ASGA) for Anytime Multi-Agent Path Finding;2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS);2023-07-07
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