Health professionals, nursing and care staff are in short supply to cater to all the needs of the growing, global elderly population. This paper presents the design and implementation of a low cost and low power context aware robotic system to assist the elderly due to a desire to develop accessible technology for all countries and considering the poverty of many elderly. The system is furnished with 4 wheels for indoor navigation. It is equipped with 'environmental parameter monitoring' sensors and the system can be controlled by the user through voice commands. The system interprets the environmental contexts and makes context aware decisions based on the sensed information. On the basis of the previous medical history from the database server and the newly interpreted data, the decision making unit makes efficient decisions and gives feedback to the device control unit. The system improves the health of the elderly by regularly monitoring the environmental conditions of people.


Team Members

Leader Of the Team Faculty Student


Simi S.


Rajesh Kannan Megalingam


Sreeram Rasamany