@article{2120a19e7db945a0a7e5963e7019a8f0,
title = "A sketch drawing humanoid robot using image-based visual servoing",
abstract = "This paper presents our sketch drawing artist humanoid robot research. One of the limitations of the existing artist humanoid robot is the lack of feedback on the error that occurs during the drawing process. The contribution of this research is the development of a humanoid robot artist with drawing error correction capability. Based on our previous work with open-loop control pen-and-ink humanoid robot artist, we have implemented a closed-loop visual servoing approach to address this problem. Our experimental results show that this approach is sufficient to correct drawing errors that occur due to mechanical limitation of a robot. ",
author = "Lau, {Meng Cheng} and John Anderson and Jacky Baltes",
note = "Funding Information: This work was financially supported by the Chinese Language and Technology Center of National Taiwan Normal University (NTNU) from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan, and Ministry of Science and Technology, Taiwan, under Grants No. MOST 108-2634-F-003-002, MOST 108-2634-F-003-003 and MOST 108-2634-F-003-004 (administered through Pervasive Artificial Intelligence Research (PAIR) Labs), as well as MOST 107-2811-E-003-503. We are grateful to the National Center for High-performance Computing for computer time and facilities to conduct this research. Publisher Copyright: {\textcopyright} ",
year = "2019",
doi = "10.1017/S0269888919000146",
language = "English",
volume = "34",
journal = "Knowledge Engineering Review",
issn = "0269-8889",
publisher = "Cambridge University Press",
}