Collaborative Search and Package Delivery Strategy for UAV Swarms Under Area Restrictions-Reference-Cited by-同舟云学术

Collaborative Search and Package Delivery Strategy for UAV Swarms Under Area Restrictions

Published:2023-09-20 Issue:5 Volume:27 Page:932-941
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Xin Ziwei¹,Li Juan¹,Li Jie¹,Liu Chang¹

Affiliation:

1. School of Mechatronical Engineering, Beijing Institute of Technology, No.5 South Street, Zhongguancun, Haidian District, Beijing 100081, China

Abstract

The rapid implementation of multi-task decoupling in restricted flight areas for unmanned aerial vehicle swarms is crucial to ensure swarm effectiveness. This study introduces a task-switching mechanism in the bio-inspired rule-based (Bio-RB) decision-making algorithm and establishes a mapping relationship from behavioral rules to task modes. A complete decision model is constructed for the cooperative search and package delivery tasks. To further improve the search efficiency of swarms in restricted areas, a boundary-handling strategy based on the combination of path prediction and virtual agents is proposed. The overall scheme is termed the task-driven rule-based (Task-RB) decision-making algorithm. The proposed Task-RB method is evaluated under full-flow simulation. Numerical experiments demonstrate the superior performance of the proposed Task-RB method against the Bio-RB method under different instances.

Funder

National Natural Science Foundation of China

Beijing Institute of Technology

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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