Robotic Writing System with Intelligent Interactive Learning Ability
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National Key Research & Development Plan of China (2017YFB1002804); National Nature Science Foundation of China (61873269, 61332017); Guangxi Zhuang Autonomous Region Natural Science Foundation of China (2017GXNSFAA198226); Guangxi Science and Technology Project (桂科AB17195053); Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics (GIIP201602); Guangxi Key Laboratory of Trusted Software (KX201601); Guangxi Cooperative Innovation Center of Cloud Computing and Big Data and Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems (YD16E11); Guangxi Key Laboratory of Cryptography and Information Security (CIS201602); Innovation Project of GUET Graduate Education (2017YJCX55); Guangxi Zhuang Autonomous Region Natural Science Foundation of China, Project 2017 (2017JJA160182); Guangxi Science and Technology Research Project (1598018-6)

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    Abstract:

    In this study, a robotic intelligence writing system is built based on the Uarm to learn Chinese character strokes. This system can finish automaticly strokes spliting and writing of unfamiliar charater. Besides, based on the dialogue technology and image processing technology, the system can learn the correct strokes from human. Firstly, the system gets the keyword which user want to write and user intention according to the input voice information and the word image information from camera. Then it analyzes the word image and splitting and extracting the strokes if the keyword is detected. If the word is being taught by human, the system would record the strokes order and learn the correct way to write the character. Through the dialogue management, the Uarm can interact with human through wrting and dialogue, learn form human, and write the characters correctly. According to the experimental analysis and subjective evaluation of the test, the system has been well recognized.

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杨明浩,张珂,赵博程,朱庆杰,潘航,那燊若阳,湛永松,陶建华.具有智能交互学习能力的机械臂写字系统.软件学报,2018,29(S2):54-61

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  • Received:June 01,2017
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  • Online: August 07,2019
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