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首页> 外文期刊>International Journal of System Dynamics Applications: An official publication of the Information Resources Management Association >Design and Implementation of Distributed Autonomous Coordinators for Cooperative Multi-Robot Systems
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Design and Implementation of Distributed Autonomous Coordinators for Cooperative Multi-Robot Systems

机译:协同多机器人系统分布式自治协调器的设计与实现

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The paper presents a systematic method of the design of cooperative task planning and execution for complex robotic systems using multiple robots. Because individual robots can autonomously execute their dedicated tasks, in cooperative multi-robot systems, robotic activities should be designed as discrete event driven asynchronous, concurrent processes. Further, since robotic activities are hierarchically defined, control requirements should be specified in a proper and consistent manner on different levels of control abstraction. In this paper, Petri nets are adopted as a specification tool for task planning and execution by multiple robots. Based on place/transition Petri nets, control conditions for inter-robot cooperation with synchronized interaction are represented, and control rules to achieve distributed autonomous coordinated activities with synchronous and asynchronous communication are proposed. An implementation of net based control software on hierarchical and distributed architecture is presented for an example multi-robot cell, where the higher-level controller executes a global net model of task plan representing cooperative behaviors performed by the robots, and the parallel activities of the individual robots are synchronized through the transmission of requests and the reception of status between the associated lower-level local controllers.
机译:本文提出了使用多机器人的复杂机器人系统协同任务计划和执行设计的系统方法。由于各个机器人可以自主执行其专用任务,因此在协作多机器人系统中,机器人活动应设计为离散事件驱动的异步并发流程。此外,由于机器人活动是分层定义的,因此应在不同级别的控制抽象上以适当且一致的方式指定控制要求。在本文中,Petri网被用作多机器人计划和执行任务的规范工具。基于位置/转移Petri网,给出了具有交互作用的机器人间协作的控制条件,并提出了通过同步和异步通信实现分布式自主协调活动的控制规则。针对示例多机器人单元,提出了在分层和分布式体系结构上基于网络的控制软件的实现,其中较高级别的控制器执行任务计划的全局网络模型,该任务计划表示机器人执行的协作行为以及机器人的并行活动。通过在相关的下层本地控制器之间传输请求和接收状态,使各个机器人同步。

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