用确定性模型设计基于智能体的机器人系统

L. Ribas-Xirgo, J. Alcaine, Jonatan Trullas-Ledesma, A. J. Velasco-González
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引用次数: 0

摘要

随着多机器人系统和机器人自身复杂性的不断提高,其不确定性和不可预测性也在不断增加。在这项工作中,采用多智能体方法来设计这样的系统,因此智能体的行为用抽象状态机来描述。通过将代理行为约束到确定性机器,期望对结果系统的验证更有效,并且作为副产品,物理代理的实现更直接。在本文中,描述了设计框架,并进行了一些初步测试,以证明该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On using deterministic models to design agent-based, robotic systems
The ever growing complexity of multi-robot systems and of robot themselves result in an increasing degree of uncertainty and unpredictability. In this work, the multi-agent approach to design such systems is adapted so behaviors of agents are described in terms of abstract state machines. By constraining agent behaviors to deterministic machines, verification of resulting systems is expected to be more effective and, as a by-product, implementation of physical agents is more straightforward. In this paper, the design framework is described as well as some preliminary tests to prove the viability of this approach.
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