A system architecture to control robot through the acquisition of sensory data in IoT environments

Abstract

Sensory data should be converted into meaningful situational information so that context-aware system can provide various robot services for users on IoT environments. Context-aware system gathers sensor data from the natural environment, which is converted to sensory data and abstracted as situational data to provide robot services. On robot runtime environment, context-aware system is required to access information of robot devices, description of robot functions, and list of robot services, in order to control robot tasks. However, those two different systems should be loosely coupled. In order to adapt the abstract concept on robot runtime environments, the sensory data acquisition system is required. In this paper, we propose system architecture to control a robot based on the acquisition of sensory data. This architecture includes the sensor data conversion process to provide appropriate control information for robot tasks. © 2016 IEEE.