新的语义地图标准工作组——还有更多的工作要做!(标准)

Jaehoon Lee, C. Schlenoff
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引用次数: 0

摘要

IEEE机器人和航空协会的标准工作组继续增长。我们目前的工作小组正在以下方面制订标准和指引:●自主机器人●伦理驱动—机器人、智能和自主系统的推动●伦理驱动—机器人和自动化系统的本体论标准●人类主体研究中人机交互设计的推荐实践●机器人敏捷性●机器人任务表示●人机交互的标准术语●3D地图数据表示●自主系统的验证。我们最新的标准工作组“自主机器人语义地图标准”正在开发一个定义参考模型的标准;基础数据模型;以及自主机器人语义地图的应用框架,这里有详细的描述。自主智能机器人利用对空间和环境的高级描述与人类进行交互。语义地图通过提供空间的抽象和上下文知识边缘的关联,使人机交互成为可能。智能技术与机器人技术的持续快速发展需要复杂和标准化的语义图,以提供智能机器人所需的各种连接技术之间的互操作性。本标准的目的是为自主机器人语义地图的应用建立一个共同的基础,为人类用户提供智能服务。该标准的开发是从参考模型开始的,参考模型基于从用例中确定的需求。用于语义地图信息的表示和交换的基本数据模型依次开发。最后,给出了一个应用框架的规范,以支持利用自主机器人的语义地图开发应用程序。还有其他工作组正在筹备中,重点关注机器人辅助手术系统的模块化和扩展当前的自主机器人标准(P1872.2)。请继续关注这些即将成立的工作组的更多信息。如果您想加入该工作组,请联系Jaeho Lee (jaeho@uos@ac.uk)。如果您想了解或参与其他工作组,请访问https://www.ieee - ras.org/industry - government/standards。也有一个积极的努力,包括本科生在这些小组,以激发他们对机器人标准的兴趣。关于这一努力的更多信息可以在https:// www.ieee - ras.org/students/student - news-andannoun/1572 - call - students-participating-iniee-robotic - standarzations-effort-spirse上找到。数字对象标识符10.1109/MRA.2022.3189198当前版本日期:2022年9月7日自治
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New Standards Working Group on Semantic Maps - and More to Come! [Standards]
T he IEEE Robotics and Au to ­ mation Society’s standards working groups continue to grow. Our current working groups are pursuing standards and guidelines in the following areas: ● autonomous robots ● ethically driv­ en nudging for robotic, intelligent, and autonomous systems ● an ontological standard for ethically driv­ en robotics and automa­ tion systems ● recommended practice for the hu­ man–robot interaction design of human subject studies ● robot agility ● robot task representation ● standard terminology for human– robot interactions ● 3D map data representation ● the verification of autonomous systems. Our newest standards working group, “Standard for Semantic Maps for Autonomous Robots,” is developing a standard that defines a reference model; fundamental data models; and an application framework of semantic maps for autonomous robots, which is described in more detail here. Autonomous intelligent robots use high­level descriptions of space and context to interact with human beings. Semantic maps enable e f f e c t i v e human–robot interaction by provid­ ing an abstraction of space and association of contextual knowl­ edge. The ongoing rapid develop­ ment of intelligent technology with robotic technology demands both sophisticated and standardized seman­ tic maps to provide interoperability between the diverse conjunctive tech­ nologies that are required for intelli­ gent robots. The purpose of this standard is to establish a common ground for the application of semantic maps for autonomous robots to provide intelli­ gent services to human users. The development of this standard is initi­ ated from a reference model that is based on the requirements identified from use cases. Fundamental data models for the re presentation and exchange of semantic map informa­ tion are developed in turn. Finally, the specification of an application framework to support the develop­ ment of applications utilizing the semantic maps for autonomous robots follows. There are additional working groups in the pipeline focusing on modularity for robotically assisted surgical systems and on extending the current autonomous robot standard (P1872.2). Stay tuned for more infor­ mation on these upcoming work­ ing groups. If you would like to get involved in this working group, please contact Jaeho Lee at jaeho@uos@ac.uk. If you would like to learn about or get involved in the other working groups, please visit https://www.ieee­ras.org/industry ­government/standards. There is also an active effort to include undergraduate college students in these groups to pique their interest in robot standards. More information about this effort can be found at https:// www.ieee­ras.org/students/student ­news­and­announcements/1572­call ­students­participating­in­ieee­robotic ­standardization­efforts­spirse. Digital Object Identifier 10.1109/MRA.2022.3189198 Date of current version: 7 September 2022 Autonomous
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