Proceedings ArticleDOI
Robot learns Chinese calligraphy from Demonstrations
Yuandong Sun,Huihuan Qian,Yangsheng Xu +2 more
- pp 4408-4413
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TLDR
This paper proposes a new stroke parametrization approach, and applies Locally Weighted Linear Regression to map from the stroke parameters to the trajectory of the brush, so that Callibot will be able to replicate calligraphy from images.Abstract:
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 calligraphy robot, Callibot, to acquire calligraphy skills. We first propose a new stroke parametrization approach. Then we apply Locally Weighted Linear Regression to map from the stroke parameters to the trajectory of the brush. The training data are obtained from several demonstrations. Thereafter, Callibot is capable of writing a new stroke, if the stroke's parameters are given. The resulting motion is as natural as human writing. Experimental results prove the feasibility of our proposed approach. This approach is independent of the robot and is compatible with any robot with six or more degrees of freedom. This approach can be further integrated with our previous research, i.e. stroke extraction, so that Callibot will be able to replicate calligraphy from images.read more
Citations
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Proceedings ArticleDOI
Generative Adversarial Nets in Robotic Chinese Calligraphy
TL;DR: A generative adversarial nets-based calligraphic robotic framework, which enables a robot to learn writing fundamental Chinese strokes with rich diversity and good originality and significantly boosts the robotic autonomous creation ability.
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Aesthetics Evaluation for Robotic Chinese Calligraphy
TL;DR: A closed-loop calligraphy system is established to decrease effects brought by modeling errors and optimize aesthetics, and a strategy of robotic Chinesecalligraphy is newly proposed based on aesthetics evaluation, which is characterized by three aesthetics indexes.
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Use of Automatic Chinese Character Decomposition and Human Gestures for Chinese Calligraphy Robots
TL;DR: A robotic handwriting system is presented to address limitations of conventional Chinese calligraphy robots, which extracts Chinese characters from textbooks and uses a robot's manipulator to write the characters in a different style.
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A data-driven robotic Chinese calligraphy system using convolutional auto-encoder and differential evolution
Xingen Gao,Changle Zhou,Fei Chao,Fei Chao,Longzhi Yang,Chih-Min Lin,Tao Xu,Changjing Shang,Qiang Shen +8 more
TL;DR: This paper proposes a new learning system to allow a robot to automatically learn to write Chinese calligraphy effectively, and shows the robustness and efficacy of the proposed approach and its potential in autonomous action-state space exploration for other real-world applications.
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A Robot Learning Method with Physiological Interface for Teleoperation Systems
TL;DR: In this study, a novel method of human-centric interaction, through a physiological interface was presented to capture the information details of the remote operation environments and to relieve workload of the human operator and to improve efficiency of the teleoperation system.
References
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TL;DR: The proposed method obtains very good trajectories of the writing brush for CCC robot, based on image and curve processing techniques and the calligraphy knowledge.
Proceedings ArticleDOI
Robotic calligraphy — Learning how to write single strokes of Chinese and Japanese characters
TL;DR: A robot testbed for writing Chinese and Japanese calligraphy characters is presented and a learning procedure uses visual feedback to analyze each new iteration of the drawn stroke and updates the drawing spline such that every subsequent drawn stroke becomes more similar to the reference image.
Proceedings ArticleDOI
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TL;DR: This research proposes an approach to extract strokes using the geometric properties on the contour(s) of a character using the curvature vector defined in [1], and shows that this approach is feasible of extracting strokes from characters.