DocumentCode :
3527860
Title :
Human-like robotic handwriting and drawing
Author :
Boren Li ; Zheng, Yuan F. ; Hemami, H. ; Da Che
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2013
fDate :
6-10 May 2013
Firstpage :
4942
Lastpage :
4947
Abstract :
The method of human-like handwriting and drawing is addressed with a three-link arm. Three strategies of trajectory planning are considered: the basic stroke method, the Bezier curve method, and the non-gradient numerical optimization method. Planar patterns of handwriting or drawing are converted into the vector form of joint angles in which sequence and speed of the movement can be designed to imitate human handwriting and drawing. A nonlinear three-link three-dimensional arm, similar to a human arm, is developed to track the planned trajectories. The feasibility of these methods is demonstrated by simulation.
Keywords :
gradient methods; handwriting recognition; humanoid robots; numerical analysis; optimisation; robot vision; Bezier curve method; human handwriting; human like robotic drawing; human like robotic handwriting; joint angles; nongradient numerical optimization method; planar patterns; stroke method; trajectory planning; Decoding; Encoding; Equations; Mathematical model; Planning; Robots; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
ISSN :
1050-4729
Print_ISBN :
978-1-4673-5641-1
Type :
conf
DOI :
10.1109/ICRA.2013.6631283
Filename :
6631283
Link To Document :
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