Lip synchronization is one of the most important technologies in the field of intelligent robotics. The natural and precise lip synchronization of robots could contribute to the improvement of human robot interaction and communication. In this paper, we designed a lip synchronization system for intelligent face robots using a text-to-speech system and robot mouth module. By applying several suggested lip synchronization control methods to this robot, we developed a reliable and high-performance robot lip synchronization system. Then, the overall performance of this system was verified through the experiments.

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This paper proposes a 2D position and orientation tracking method of a micro-robot based on vision recognition. Position tracking is easy and simple, but the orientation of the micro-robot is hard to correctly recognize because the micro-robot is small and symmetrical.Since the orientation of the micro-robot is closely related to propulsion direction, it is necessary to recognize the orientation to accurately control the micro-robot. In this paper, the vision-based recognition result for orientation is compensated by expecting the direction of magnetic field from the Helmholtz coil currents.

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