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A Novel Task Assignment Strategy for Multi-robot System

delete2026-01-01
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PRE
AI
M
Md Ali Haider *
R
Raihan Kabir
H
Hossain, Shah Alam
Y
Yutaka Watanobe
DOI:10.1007/978-981-96-8892-0_1delete
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摘要

摘要

En 中文
多机器人系统的普及显著提升了机器人在各领域的性能与应用。高效管理与分配多机器人任务仍是关键挑战,直接影响系统性能和运行效率。本研究提出一种基于云的任务分配策略,采用改进的周期性最小-最大权重(PMW)算法。通过整合云计算资源,旨在增强机器人间的协作与协调,优化任务分配与完成。所提出的模型为多机器人任务分配问题(MRTA)提供了一种可扩展且稳健的解决方案,有望显著提升效率与适应性。
Keyword:
Robotics
Task Assignment
Multi-Robot
Improved PMW Algorithm

期刊

A
ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE: THEORY AND APPLICATIONS, IEA/AIE 2025, PT II
IF:
0
论文数:
41
被引数:
0

机构

U
University of Aizu
学者数:
768
论文数: 1.0K
被引数: 302
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