Abstract: Due to uncertain time delay of data transmission over Internet, teleoperated Internet robots cannot accomplish the desired actions of the remote operator in time. This paper investigates a novel approach, user intention modeling, to compensate the uncertainty with the robot autonomy. The user intention to control and operate the networked robot is modeled and incrementally inferred based on Bayesian techniques. Consequently, the robot can autonomously execute the task without frequent interactions with the user, and this decreases data transmission over Internet and improves the efficiency of the whole system to a great extent. Experimental results demonstrate the validity and feasibility of the proposed method.