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An Ontology of Robotics Science

机译:机器人科学本体论

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This paper describes ground-breaking work on the creation of an ontology for the domain of robotics as a science. An ontology is a collection of terms, concepts and their inter-relationships, represented in a machine-usable form. An ontology in a particular domain is useful if the structure it adds to the domain is simple enough to be understood quickly and intuitively, and rich enough to increase insight into the whole domain to a level where this increased insight can lead to innovation and increased efficiency in scientific and practical developments.rnThis paper presents an ontology for the science of robotics, and not for robots as objects: the latter ontology describes the physical and technical semantics and properties of individual robots and robot components, while the ontology of the science of robotics encodes the semantics of the meta-level concepts and domains of robotics. For example, surgical robotics and industrial automation are two concepts in the ontology of the science of robotics, while the semantics of robot kinematics and dynamics, or of a particular robot control algorithm belong to the ontology of robots as objects.rnThe structure in the presented ontology for the science of robotics consists of two complementary sub-structures: (ⅰ) the robot agent and robot system models (i.e., what components are required in a robot device, and in a robotic application, respectively), and (ⅱ) the Context Space (i.e., ordinal and categorical relationships between physical and computational aspects of robot agents and systems in which the sub-domains of robotics can be mapped out). The implementation of the Context Space concept using standard ontology tools is explained.rnThe paper illustrates its expected usefulness with examples of sub-domains of robotics expressed as contexts in the context space, and with two use cases for the ontology: (ⅰ) the classification of conference or journal paper submissions, and (ⅱ) the guidance of new researchers into the domain of robotics.
机译:本文描述了在机器人科学领域创建本体的开创性工作。本体是术语,概念及其相互关系的集合,以机器可用的形式表示。如果特定领域的本体添加到结构中的结构足够简单,可以快速,直观地理解,并且足够丰富,可以将对整个领域的洞察力提高到一定程度,在这种程度上,这种增加的洞察力可以带来创新并提高效率,则该本体是有用的本文提出了一种用于机器人科学的本体,而不是针对作为对象的机器人:后一种本体描述了单个机器人和机器人组件的物理和技术语义以及特性,而机器人科学的本体编码元级概念和机器人技术领域的语义。例如,外科机器人技术和工业自动化是机器人科学本体中的两个概念,而机器人运动学和动力学的语义或特定的机器人控制算法的语义属于作为对象的机器人本体。机器人科学的本体论包含两个互补的子结构:(ⅰ)机器人代理和机器人系统模型(即,机器人设备和机器人应用程序分别需要哪些组件),以及(ⅱ)上下文空间(即,机器人代理和系统的物理和计算方面之间的顺序和分类关系,可以在其中映射出机器人的子域)。解释了使用标准本体工具实现上下文空间概念的过程.rn本文通过在上下文空间中表示为上下文的机器人子域示例以及本体的两个用例来说明其预期的实用性:(ⅰ)分类会议或期刊论文的提交,以及(ⅱ)新研究人员对机器人技术领域的指导。

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