Robotic chinese calligraphy with human preference

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Robotic chinese calligraphy with human preference. / Chao, Fei; Lyu, Jitu; Wu, Ruiqi; Gao, Xingen; Zhou, Changle; Yang, Longzhi; Lin, Chih Min; Shang, Changjing.

Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation: SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019. IEEE Press, 2019. p. 360-366 9060257 (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019).

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Harvard

Chao, F, Lyu, J, Wu, R, Gao, X, Zhou, C, Yang, L, Lin, CM & Shang, C 2019, Robotic chinese calligraphy with human preference. in Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation: SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019., 9060257, Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019, IEEE Press, pp. 360-366, 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019, Leicester, United Kingdom of Great Britain and Northern Ireland, 19 Aug 2019. https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00105

APA

Chao, F., Lyu, J., Wu, R., Gao, X., Zhou, C., Yang, L., Lin, C. M., & Shang, C. (2019). Robotic chinese calligraphy with human preference. In Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation: SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (pp. 360-366). [9060257] (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019). IEEE Press. https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00105

Vancouver

Chao F, Lyu J, Wu R, Gao X, Zhou C, Yang L et al. Robotic chinese calligraphy with human preference. In Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation: SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019. IEEE Press. 2019. p. 360-366. 9060257. (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019). https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00105

Author

Chao, Fei ; Lyu, Jitu ; Wu, Ruiqi ; Gao, Xingen ; Zhou, Changle ; Yang, Longzhi ; Lin, Chih Min ; Shang, Changjing. / Robotic chinese calligraphy with human preference. Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation: SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019. IEEE Press, 2019. pp. 360-366 (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019).

Bibtex - Download

@inproceedings{66e64d1befc942589d1f42c0e0034465,
title = "Robotic chinese calligraphy with human preference",
abstract = "Robotic Chinese calligraphy is an attempt to lead robots to learn mankind's culture and knowledge. The current research on robotic calligraphy ignores the usage of human preferences. This has restricted robots to produce writing results reflecting personalized styles. This paper proposes a robotic learning approach that introduces a inverse reinforcement learning algorithm with human preferences into a robotic writing system. Through selections of human users, the robot system learns to write Chinese character strokes according to the user's aesthetic preference. Thus, the paper first uses a generative network adopting from the Generative Adversarial Nets to produce a basic writing ability of Chinese strokes for a robot system. Then, the writing results of the robot are captured by the robot's visual device and then presented to the human users as images. Then, the human users give their preferences as the feedbacks of the images, the approach uses the marked images to train a reward predictive mechanism. In the end, the reward predictive mechanism aids the inverse reinforcement learning algorithm to enable the robot to automatically improve its writing ability of Chinese character strokes. Experimental results show that the proposed framework can successfully allow the robot to write Chinese characters strokes in accordance with the human user's preference. In addition, the robot demonstrates a fast learning speed with a small number of human selections. This gives a very promising solution to the robot's learning of more complex movements.",
keywords = "Human-robot interaction, Inverse reinforcement learning, Robotic calligraphy",
author = "Fei Chao and Jitu Lyu and Ruiqi Wu and Xingen Gao and Changle Zhou and Longzhi Yang and Lin, {Chih Min} and Changjing Shang",
year = "2019",
month = apr,
day = "9",
doi = "10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00105",
language = "English",
isbn = "9781728140353",
series = "Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019",
publisher = "IEEE Press",
pages = "360--366",
booktitle = "Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation",
address = "United States of America",
note = "2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 ; Conference date: 19-08-2019 Through 23-08-2019",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Robotic chinese calligraphy with human preference

AU - Chao, Fei

AU - Lyu, Jitu

AU - Wu, Ruiqi

AU - Gao, Xingen

AU - Zhou, Changle

AU - Yang, Longzhi

AU - Lin, Chih Min

AU - Shang, Changjing

PY - 2019/4/9

Y1 - 2019/4/9

N2 - Robotic Chinese calligraphy is an attempt to lead robots to learn mankind's culture and knowledge. The current research on robotic calligraphy ignores the usage of human preferences. This has restricted robots to produce writing results reflecting personalized styles. This paper proposes a robotic learning approach that introduces a inverse reinforcement learning algorithm with human preferences into a robotic writing system. Through selections of human users, the robot system learns to write Chinese character strokes according to the user's aesthetic preference. Thus, the paper first uses a generative network adopting from the Generative Adversarial Nets to produce a basic writing ability of Chinese strokes for a robot system. Then, the writing results of the robot are captured by the robot's visual device and then presented to the human users as images. Then, the human users give their preferences as the feedbacks of the images, the approach uses the marked images to train a reward predictive mechanism. In the end, the reward predictive mechanism aids the inverse reinforcement learning algorithm to enable the robot to automatically improve its writing ability of Chinese character strokes. Experimental results show that the proposed framework can successfully allow the robot to write Chinese characters strokes in accordance with the human user's preference. In addition, the robot demonstrates a fast learning speed with a small number of human selections. This gives a very promising solution to the robot's learning of more complex movements.

AB - Robotic Chinese calligraphy is an attempt to lead robots to learn mankind's culture and knowledge. The current research on robotic calligraphy ignores the usage of human preferences. This has restricted robots to produce writing results reflecting personalized styles. This paper proposes a robotic learning approach that introduces a inverse reinforcement learning algorithm with human preferences into a robotic writing system. Through selections of human users, the robot system learns to write Chinese character strokes according to the user's aesthetic preference. Thus, the paper first uses a generative network adopting from the Generative Adversarial Nets to produce a basic writing ability of Chinese strokes for a robot system. Then, the writing results of the robot are captured by the robot's visual device and then presented to the human users as images. Then, the human users give their preferences as the feedbacks of the images, the approach uses the marked images to train a reward predictive mechanism. In the end, the reward predictive mechanism aids the inverse reinforcement learning algorithm to enable the robot to automatically improve its writing ability of Chinese character strokes. Experimental results show that the proposed framework can successfully allow the robot to write Chinese characters strokes in accordance with the human user's preference. In addition, the robot demonstrates a fast learning speed with a small number of human selections. This gives a very promising solution to the robot's learning of more complex movements.

KW - Human-robot interaction

KW - Inverse reinforcement learning

KW - Robotic calligraphy

UR - http://www.scopus.com/inward/record.url?scp=85083579949&partnerID=8YFLogxK

U2 - 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00105

DO - 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00105

M3 - Conference Proceeding (Non-Journal item)

SN - 9781728140353

T3 - Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019

SP - 360

EP - 366

BT - Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation

PB - IEEE Press

T2 - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019

Y2 - 19 August 2019 through 23 August 2019

ER -

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