Autonomous Navigation and Teleoperation in Robots using Machine Learning

Human-robot interaction most challenging task such as control, monitoring and navigation. We explore the unique challenges posed by the remote operation of robots. Teleoperation widely make use of short messaging service, this method not efficient for robotic control, monitoring and navigation. Rapid development in robotic technology effective monitoring, control and automated navigation are need, this paper we developed a system for the remote operation in robots is based on GPRS for monitoring and control. Robot act as artificial intelligent agent to avoid obstacle by using artificial intelligence approach namely machine learning algorithm called decision tree learning for automated navigation during absence of remote operator.