Intelligent robot companion capable of controlling environment ambiance of smart houses by observing user's behavior

Abstract

Robot companions are being developed to assist humans in domestic environments. This paper proposes an intelligent robot companion which is capable of adapting the ambient conditions of a smart home environment in accordance to the user behavior. The user behavior identification is facilitated by an artificial neural network that has been trained to detect the different postures of humans such as sitting and standing. Based on the identified user behavior, the robot controls smart devices available in the home to realize the adaptation of ambient conditions. The smart devices and the companion robot connect over a wireless network. Furthermore, voice interaction capabilities have also been incorporated to the robot companion to facilitate voice interaction based controlling of ambient conditions. A prototype of the system has been developed and the capabilities of the system have been validated experimentally.