...
首页> 外文期刊>Future generation computer systems >Exploring the cognitive process for service task in smart home: A robot service mechanism
【24h】

Exploring the cognitive process for service task in smart home: A robot service mechanism

机译:探索智能家居中服务任务的认知过程:机器人服务机制

获取原文
获取原文并翻译 | 示例
           

摘要

Smart home (SH) has been widely viewed as a promising paradigm to enhance the quality of life by providing context-aware services. Although the remarkable progress in SH has been made, it still remains a challenging problem to actively discover and provide complex service tasks in a proper way, especially bridging the gap between the complex tasks and the executable task descriptions by robot. To address this problem, this paper explores a robot service mechanism based on system cooperation in SH. Through the combination of intelligent space and robot, a system architecture of SH is presented, where the abilities of environmental perception and service execution can be effectively improved. For supporting the proposed system architecture and service task, a knowledge-based context model is proposed to address the data heterogeneity issue. Then the robot service mechanism of how to actively discover and provide the service task in the right way is fully revealed, the purpose of which is to provide a feasible solution for improving the quality of life. In particular, the comprehensive cognitive process of service task, including task cognition, task inference, task planning and task assessment, and autonomous navigation of service robot are exposed. The comprehensive experimental evaluations are conducted in the real-world, and the results demonstrate the feasibility and effectiveness of the presented schemes. (C) 2019 Elsevier B.V. All rights reserved.
机译:智能家居(SH)被广泛认为是通过提供上下文感知服务来提高生活质量的有前途的范例。尽管SH取得了显着进步,但是以适当的方式主动发现并提供复杂的服务任务仍然是一个挑战性的问题,尤其是弥合复杂任务和机器人可执行任务描述之间的差距。为了解决这个问题,本文探索了基于SH的系统协作的机器人服务机制。通过智能空间与机器人的结合,提出了上海的系统架构,可以有效地提高环境感知和服务执行的能力。为了支持所提出的系统架构和服务任务,提出了一个基于知识的上下文模型来解决数据异质性问题。然后充分揭示了如何以正确的方式主动发现和提供服务任务的机器人服务机制,目的是为提高生活质量提供一种可行的解决方案。特别是,公开了服务任务的全面认知过程,包括任务认知,任务推理,任务计划和任务评估以及服务机器人的自主导航。在现实世界中进行了全面的实验评估,结果证明了所提出方案的可行性和有效性。 (C)2019 Elsevier B.V.保留所有权利。

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