Hierarchical Task Planning Considering Communication Status for Multi-Robot System

Jiyoun Moon, Sung-Hoon Bae
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引用次数: 2

Abstract

As the roles of robots have expanded, flexible task planning frameworks have received significant attention in various domains. In particular, task planning based on multi-agent systems is essential because tasks can be performed efficiently in broad areas by utilizing such systems. This paper proposes various task-planning methods according to the communication statuses of robots. The proposed methods were successfully verified through experiments in which a multi-agent system consisting of a central control system and several robots was applied. Our experimental setup assumed that the central control system and robots had different communication statuses.
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考虑通信状态的多机器人系统分层任务规划
随着机器人角色的扩大,灵活的任务规划框架在各个领域受到了极大的关注。特别是,基于多智能体系统的任务规划是必不可少的,因为利用这种系统可以在广泛的领域内有效地执行任务。本文根据机器人的通信状态,提出了各种任务规划方法。通过一个由中央控制系统和多个机器人组成的多智能体系统的实验验证了所提方法的有效性。我们的实验设置假设中央控制系统和机器人具有不同的通信状态。
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