{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T10:08:17Z","timestamp":1764238097630},"reference-count":27,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Human. Robot."],"published-print":{"date-parts":[[2014,3]]},"abstract":"<jats:p> Implementation of robotic writing ability is recognized as a difficult task, which involves complicated image processing and robotic control algorithms. This paper introduces a novel approach to robotic writing by using human\u2013robot interactions. The method applies a motion sensing input device to capture a human demonstrator's arm trajectories, uses a gesture determination algorithm to extract a Chinese character's strokes from these trajectories, and employs noise filtering and curve fitting methods to optimize the strokes. The approach displays real-time captured trajectories to the human demonstrator; therefore, the human demonstrator is able to adjust his\/her gesture to achieve a better character writing effect. Then, our robot writes the human-gestured character by using the robotic arm's joint values. The inverse kinematics algorithm generates the joint values from the stroke trajectories. Experimental analysis shows that the proposed approach can allow a human to naturally and conveniently control the robot in order to write many Chinese characters. Additionally, this approach allows the robot to achieve a satisfactory writing quality for characters with a simple structure, with the potential to write more complex characters. <\/jats:p>","DOI":"10.1142\/s0219843614500078","type":"journal-article","created":{"date-parts":[[2014,3,28]],"date-time":"2014-03-28T16:49:35Z","timestamp":1396025375000},"page":"1450007","source":"Crossref","is-referenced-by-count":23,"title":["Robotic Free Writing of Chinese Characters via Human\u2013Robot Interactions"],"prefix":"10.1142","volume":"11","author":[{"given":"Fei","family":"Chao","sequence":"first","affiliation":[{"name":"Cognitive Science Department, Fujian Provincial Key Laboratory of Brain-Like Intelligent Systems, School of Information Science and Engineering, Xiamen University, Xiamen 361005, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuhai","family":"Chen","sequence":"additional","affiliation":[{"name":"Cognitive Science Department, Fujian Provincial Key Laboratory of Brain-Like Intelligent Systems, School of Information Science and Engineering, Xiamen University, Xiamen 361005, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunhang","family":"Shen","sequence":"additional","affiliation":[{"name":"Cognitive Science Department, Fujian Provincial Key Laboratory of Brain-Like Intelligent Systems, School of Information Science and Engineering, Xiamen University, Xiamen 361005, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenli","family":"He","sequence":"additional","affiliation":[{"name":"Cognitive Science Department, Fujian Provincial Key Laboratory of Brain-Like Intelligent Systems, School of Information Science and Engineering, Xiamen University, Xiamen 361005, P. R. 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