Abstract
As Internet of Things (IoT)-based sensors have emerged recently, new technologies are being developed for users to provide suitable services by recognizing the surrounding situations. In the service robot sector, many researches are being carried out in order to exploit the collected data from IoT-based sensors. In addition, researches on robot middleware using context information are actively performed. In this paper, we propose a robot SW platform, which provides IoT-based context-aware services. This robot software platform consists of Ontology Agent, Robot Service Execution Engine, and Context Handler. The Ontology Agent is a module that searches information, such as sensor location, value type, etc., of the IoT devices stored in Ontology Repository and provides them to the Context Handler. The Context Handler reads IoT devices’ data and checks whether service transition conditions are met. If the conditions are satisfied, the data is delivered to the Robot Service Execution Engine, which is in charge of executing services. In experiments, we show a procedure executing the context-aware robot services through definition of robot services, a robot service execution engine, and a context handler, etc.
Highlights
As the Internet of Things (IoT) technology has emerged, sensors are being newly dened
We propose a robot SW platform to provide IoT-based contextaware services, which uses Resource Description Framework (RDF)-based Ontology Repository to apply IoT devices to context-aware services
The proposed platform consists of three main components: Ontology Agent searches information such as sensor location, value type, etc., of IoT device sensors stored in the Ontology Repository and provides the information to the Context Handler; Robot Service Execution Engine executes robot services based on robotservice-denition document; and Context Handler processes the service transition conditions described in the robot-service-denition document and delivers the result to the Robot Service Execution Engine
Summary
As the Internet of Things (IoT) technology has emerged, sensors are being newly dened. Various types of robots supporting humans' daily life, like humanoid robots and nursing robots are emerging.[9,10,11] Unlike existing industrial robots, such service robots must recognize surrounding situations and provide appropriate services To this end, methods are studied to handle context-awareness surrounding users with IoT-based sensors.[6,7,8,12]. Carry out by adding a module to the existing robot platform and/or middleware to provide context-aware services Such methods[16,17] might be e±cient in a simple, specic application domain, it is di±cult to apply the method to the IoT environments with a variety of heterogeneous data types of various sensors.
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