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