Software patterns and data structures for the runtime coordination of robots, with a focus on real-time execution performance.

IF 2.9 Q2 ROBOTICS Frontiers in Robotics and AI Pub Date : 2024-09-04 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1363041
Maria I Artigas, Rômulo T Rodrigues, Lars Vanderseypen, Herman Bruyninckx
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Abstract

This paper introduces software patterns (registration, acquire-release, and cache awareness) and data structures (Petri net, finite state machine, and protocol flag array) to support the coordinated execution of software activities (also called "components" or "agents"). Moreover, it presents and tests an implementation for Petri nets that supports real-time execution in shared memory for deployment inside one individual robot and separates event firing and handling, enabling distributed deployment between multiple robots. Experimental validation of the introduced patterns and data structures is performed within the context of activities for task execution, control and perception, and decision making for an application on coordinated navigation.

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用于机器人运行时协调的软件模式和数据结构,重点关注实时执行性能。
本文介绍了软件模式(注册、获取-释放和缓存感知)和数据结构(Petri 网、有限状态机和协议标志阵列),以支持软件活动(也称为 "组件 "或 "代理")的协调执行。此外,它还介绍并测试了 Petri 网的实现方法,该方法支持在共享内存中实时执行,以便在单个机器人内部进行部署,并将事件触发和处理分离开来,从而实现多个机器人之间的分布式部署。在任务执行、控制和感知活动以及协调导航应用决策制定的背景下,对引入的模式和数据结构进行了实验验证。
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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
期刊最新文献
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