Abstract
Service sector is expecting more innovations in the field of robotics and automation due to manpower shortage, changes in society and increased level of affordability to the people. This paper presents development of an intelligent service robot to monitor activity of an elder person or differently abled person. In particular, this paper presents development of 'Person Follower Algorithms' and their implementation using hardware–software codesign methodology. This work also includes usage of adaptive neural network-based fuzzy inference system (ANFIS) for implementing a robotic task. The intelligent service robot is developed by integrating an IP camera with a NI single board rapid input output (sbRIO) which has steering ultrasonic sensor. The sbRIO is chosen to take the advantage of existing system and it is suitable for HW–software codesign. The efficacy of algorithms is validated by conducting a set of experiments in our research laboratory.
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