首页> 外文期刊>IEEE transactions on network and service management >Human-Agent-Robot Task Coordination in FiWi-Based Tactile Internet Infrastructures Using Context- and Self-Awareness
【24h】

Human-Agent-Robot Task Coordination in FiWi-Based Tactile Internet Infrastructures Using Context- and Self-Awareness

机译:使用上下文和自我意识的基于FIWI的触觉互联网基础设施的人工代理机器人任务协调

获取原文
获取原文并翻译 | 示例

摘要

With the advent of safe collaborative robots, their seamless integration into human teams as teammates is starting to gain steam as part of the vision of the emerging Tactile Internet. The Tactile Internet lies at the nexus of computerization, automation, and robotization. While necessary, low task execution time and ultra-reliable human-robot connectivity are not sufficient to unleash the full potential of the resultant human-agent-robot teamwork (HART) applications. In this paper, we propose a context- and self-aware HART-centric allocation scheme for both physical and digital tasks to coordinate the automation and augmentation of mutually beneficial human-machine coactivities while spreading ownership of robots across users over integrated fiber-wireless (FiWi) Tactile Internet infrastructures. In addition to realizing collective context-awareness via HART-centric task coordination, we aim at exploiting local self-awareness in order to improve the energy-delay performance of robots. Further, we present an analytical framework to estimate the packet transmission delay and human-robot connection reliability. Our results indicate that our proposed context- and self-aware HART-centric task coordination scheme obtains a low task execution time while minimizing the energy consumption and operational expenditures (OPEX) of mobile robots.
机译:随着安全合作机器人的出现,随着队友作为队友开始获得蒸汽作为新出现的触觉互联网的一部分,他们的无缝融合成为人类队伍。触觉互联网位于计算机化,自动化和机器化的Nexus。虽然必要,低任务执行时间和超可靠的人机连接不足以释放所得人类代理机器人团队合作(HART)应用的全部潜力。在本文中,我们提出了一种关于物理和数字任务的背景和自我意识的HART为中心的分配方案,以协调自动化和增强互利的人机共用,同时在集成光纤中扩散机器人的所有权( FIWI)触觉互联网基础架构。除了通过以HART为中心的任务协调实现集体背景知识外,我们的目标是利用本地自我意识,以提高机器人的能源延误性能。此外,我们提出了分析框架来估计分组传输延迟和人机连接可靠性。我们的结果表明,我们所提出的上下文和自我意识的Hart中心任务协调方案获得了低任务执行时间,同时最大限度地减少了移动机器人的能耗和运营支出(OPEX)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号