论文标题

部分可观测时空混沌系统的无模型预测

Partition-Tolerant and Byzantine-Tolerant Decision-Making for Distributed Robotic Systems with IOTA and ROS 2

论文作者

Keramat, Farhad, Queralta, Jorge Peña, Westerlund, Tomi

论文摘要

随着自动机器人解决方案无处不在的越来越多,对它们的连通性和多机器人系统中的合作的兴趣正在上升。当前研究的两个方面是机器人安全性和对拜占庭代理商的确保多机器人协作。已提出了区块链和其他分布式分类帐技术(DLT)来应对两个领域的挑战。但是,一些关键挑战包括现实世界网络中的可扩展性和部署。本文提出了一种集成IOTA和ROS 2的方法,以实现更可扩展的基于DLT的机器人系统,同时允许部署后进行网络分区耐受性。据我们所知,这是机器人系统IOTA智能合约的首次实施,以及与ROS 2的首次集成设计。这与依赖以太坊的绝大多数文献相比。我们提出了一般的IOTA+ROS 2架构,导致了耐隔离的决策过程,该过程也从嵌入式区块链结构中继承了拜占庭式公差属性。我们证明了在具有间歇性网络连接的系统中进行合作映射应用程序的拟议框架的有效性。我们在存在网络分区的情况下表现出相对于以太坊的卓越性能,在计算资源利用方面的影响很小。这些结果为分布式机器人系统中的区块链解决方案的更广泛集成开辟了道路,其连接性和计算要求较少。

With the increasing ubiquity of autonomous robotic solutions, the interest in their connectivity and in the cooperation within multi-robot systems is rising. Two aspects that are a matter of current research are robot security and secure multi-robot collaboration robust to byzantine agents. Blockchain and other distributed ledger technologies (DLTs) have been proposed to address the challenges in both domains. Nonetheless, some key challenges include scalability and deployment within real-world networks. This paper presents an approach to integrating IOTA and ROS 2 for more scalable DLT-based robotic systems while allowing for network partition tolerance after deployment. This is, to the best of our knowledge, the first implementation of IOTA smart contracts for robotic systems, and the first integrated design with ROS 2. This is in comparison to the vast majority of the literature which relies on Ethereum. We present a general IOTA+ROS 2 architecture leading to partition-tolerant decision-making processes that also inherit byzantine tolerance properties from the embedded blockchain structures. We demonstrate the effectiveness of the proposed framework for a cooperative mapping application in a system with intermittent network connectivity. We show both superior performance with respect to Ethereum in the presence of network partitions, and a low impact in terms of computational resource utilization. These results open the path for wider integration of blockchain solutions in distributed robotic systems with less stringent connectivity and computational requirements.

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