一个受生物启发的数学模型，用于机器人群区分自我和非自我机器人

2015 19th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2015-11-09 DOI:10.1109/ICSTCC.2015.7321306

S. Bibic, E. Cipu, C. Buiu

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引用次数: 0

摘要

机器人群是一种自组织的多机器人系统，具有个体智能体的简单性、局部感知和通信能力、任务执行的并行性、鲁棒性、可扩展性、灵活性和分散控制等特点。机器人群体的安全性在很大程度上被忽视了，本文的主要贡献是提出了一种基于膜计算和P菌落的生物启发形式，以便为机器人群体提供一种区分自己和外来(自我和非自我)机器人的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A bioinspired mathematical model for a robotic swarm to discriminate between self and nonself robots

A robotic swarm is a self-organizing multi-robot system characterized by simplicity of individual agents, local sensing and communication capabilities, parallelism in task execution, robustness, scalability, flexibility and decentralized control. Security of robotic swarms has been largely overlooked and the main contribution of this paper is to propose a bioinspired formalism based on membrane computing and P colonies in order to provide the robotic swarm with a way to discern between own and foreign (self and nonself) robots.

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2015 19th International Conference on System Theory, Control and Computing (ICSTCC)

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