基于微服务的移动机器人安全关键应用控制架构

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Manuel Schrick, Johannes Hinckeldeyn, Marko Thiel, Jochen Kreutzfeldt
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引用次数: 0

摘要

移动机器人在公共场所越来越常见。这就增加了满足自主机器人安全要求的重要性。在这些高度动态的情况下,仅靠紧急制动等简单机制是不够的。此外,文献和实践中的实际机器人控制方法并没有特别考虑安全性。作为高级过程控制的一部分,需要一种更复杂的情景评估和规划方法。本文提出了基于微服务和分层有限状态机的移动机器人安全关键型机器人控制架构概念。它扩展了现有的架构,大幅减少了集中逻辑的数量,从而提高了整个系统的并发性、可中断性和故障安全性。此外,它还引入了代码重用的新潜力,可直接实施内部诊断系统等安全机制。为此,这一概念提出了一种新型状态机实现模板。在一个更广泛的研究项目中,我们通过一个送货机器人的应用对其进行了演示,该机器人是在真实的公共场合实施和运行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A microservice based control architecture for mobile robots in safety-critical applications
Mobile robots have become more and more common in public space. This increases the importance of meeting safety requirements of autonomous robots. Simple mechanisms, such as emergency braking, alone do not suffice in these highly dynamic situations. Moreover, actual robotic control approaches in literature and practice do not take safety particularly into account. A more sophisticated situational approach for assessment and planning is needed as part of the high-level process control. This paper presents the concept of a safety-critical Robot Control Architecture for mobile robots based on microservices and a Hierarchical Finite State Machine. It expands already existing architectures by drastically reducing the amount of centralized logic and thus increasing the overall system’s level of concurrency, interruptibility and fail-safety. Furthermore, it introduces new potential for code reuse that allows for straightforward implementation of safety mechanisms such as internal diagnostics systems. In doing so, this concept presents the template of a new type of state machine implementation. It is demonstrated with the application of a delivery robot, which was implemented and operated in real public during a broader research project.
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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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