移动机器人群时空规划的系统支持需求研究

Daniel Graff, Daniel Röhrig, R. Karnapke
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引用次数: 1

摘要

在本文中,我们提出了一种用于移动机器人群体的分布式操作系统SwarmOS。SwarmOS的特点是在系统层面上对移动机器人群体进行基于事务的时空规划。我们展示了SwarmOS中的编程模型和资源管理。群应用程序由并发的、分布式的和上下文感知的操作组成。我们提供分布式事务是为了保证一组依赖操作的原子执行。我们区分一组动作的可调度性和可执行性:前者由时空调度程序检查,它是执行环境的核心服务。调度程序在空间和时间上计划动作,如果机器人运动是必要的,则计算时空轨迹。为了保证时空动作的分布式事务的可执行性,我们提出了路径选择的概念,并提出了基于时间的两阶段提交协议以保证一致性。我们通过在我们的测试台上进行实验来证明我们的方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Need of Systemic Support for Spatio-Temporal Programming of Mobile Robot Swarms
In this paper, we present SwarmOS -- a distributed operating system for mobile robot swarms. SwarmOS features transaction-based spatio-temporal programming of mobile robot swarms on a systemic level. We show the programming model and resource management in SwarmOS. Swarm applications consist of concurrent, distributed and context-aware actions. We provide distributed transactions in order to guarantee atomic execution of a set of dependent actions. We distinguish between schedulability and executability of a set of actions: the first one is checked by the space-time scheduler which is a core service of the execution environment. The scheduler plans actions in space and time and computes spatio-temporal trajectories if robot movement is necessary. In order to guarantee executability of a distributed transaction of spatio-temporal actions, we present the concept of path alternatives and a time-based two-phase commit protocol in order to assure consistency. We show the feasibility of our approach by performing experiments on our testbed.
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