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A sketch drawing humanoid robot using image-based visual servoing

Part of: Robot Athletes and Entertainers

Published online by Cambridge University Press:  25 November 2019

Meng-Cheng Lau Open the ORCID record for Meng-Cheng Lau [Opens in a new window] ,
John Anderson  and
Jacky Baltes
Meng-Cheng Lau*
Affiliation:
Autonomous Agents Laboratory, Department of Computer Science, University of Manitoba, Winnipeg MB R3T2N2, Canada; e-mails: mengcheng.lau@gmail.com, andersj@cs.umanitoba.ca
John Anderson
Affiliation:
Autonomous Agents Laboratory, Department of Computer Science, University of Manitoba, Winnipeg MB R3T2N2, Canada; e-mails: mengcheng.lau@gmail.com, andersj@cs.umanitoba.ca
Jacky Baltes
Affiliation:
Educational Robotics Center, Department of Electrical Engineering, National Taiwan Normal University, 129, He-ping East Road, Section 1, Taipei, Taiwan 10610, Republic of China; e-mail: jacky.baltes@ntnu.edu.tw
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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.

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Type
Research Article
Information
The Knowledge Engineering Review , Volume 34 , 2019 , e18
Copyright
© Cambridge University Press 2019 

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