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Vein-Based Coalitions for Multi-Agent Pattern Formation Tasks

  • Zhehong Zhang
  • , Songhao Piao*
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This letter explores the vein trait of the structural formation task and extracts four typical parallel-straight vein structures for generating coalitions. Then, the Vein-Based Multi-Agent Pattern Formation (VB-MAPF) method is proposed to resolve task and path planning on coalitions. Besides, the presented rectifying operation guarantees the optimal coalition structure, and the vein-based pruned conflict-based search reduces the searching space for collision-free path planning. Compared with typical solvers, the inter-performance and the intra-performance orders show the efficiency and scalability of the VB-MAPF method in terms of makespan, average distance, and maximum distance on dozens of coalitions and thousands of agents.

Original languageEnglish
Pages (from-to)12379-12386
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume7
Issue number4
DOIs
StatePublished - 1 Oct 2022

Keywords

  • Coalition formation
  • multi-agent system
  • path planning
  • task planning
  • vein structures

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