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As one of the most unique types of art in Chinese culture, nowadays Chinese calligraphy is attracting increasing interests from researchers. It will be a big step if we have a robot to write Chinese calligraphy, especially in various styles, and it will form a bridge to combine science with art directly. However, there are so many different types and styles(More)
As the most critical function of mobile robots, navigation substantially relies on self-localization. Among all the approaches, vision based localization is widely adopted. Unlike the complex algorithms developed before, we present a simple real-time visual localization approach which regards the circular lamps on the ceiling as the landmarks. Two sets of(More)
Although Vehicular Ad-hoc Network (VANET) is a subclass of Mobile Ad-hoc Network (MANET), some routing protocols designed for MANET, such as AODV, are no longer suitable in VANET due to the high mobility of VANET. For this reason, we propose a GPS based AODV (GBAODV) in this paper. With the support of the GPS device, we constrain the number of AODV routing(More)
Known as “the art of strokes”, Chinese calligraphy expresses its aesthetic through the strokes. A calligraphy learner practise the strokes and compose a calligraphic character by the strokes thereafter. Following the same process, the calligraphy robot, Callibot [2] needs to extract the strokes from a character. Therefore, we propose an(More)
Combining functions with aesthetics, characters with drawings, Chinese calligraphy is a unique type of traditional art in China. To mimic the special writing skills, we develop a calligraphy robot which consists of one 6-DOF robot arm, one linear rail and one paper conveyor. This calligraphy robot, called Callibot, has several features. Firstly, it has(More)
Chinese calligraphy is a unique form of art in the world, whose aesthetic is mainly created by the proper manipulation of the brush. However, it is impossible for a person to figure out the 6-D motion of the brush from calligraphy images, if he has no experience of writing calligraphy. In this paper, we propose a Learning from Demonstration approach for our(More)
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