Author:
Murakami Kenichi,Huang Shouren,Ishikawa Masatoshi,Yamakawa Yuji, , , ,
Abstract
In this study, we demonstrate the implementation of make-to-order bead art assembly without human intervention using dynamic compensation approach to achieve accurate real-time positioning and long-term adaptation for robotic automation in smart manufacturing. In the proposed framework, an industrial robot was designed to perform coarse global motion to implement low-bandwidth adaptation. Simultaneously, fine local motion to tackle real-time online uncertainties was achieved using an add-on robotic module to implement accurate positioning. The effectiveness of the proposed method was verified through experimental evaluations.
Publisher
Fuji Technology Press Ltd.
Subject
Electrical and Electronic Engineering,General Computer Science
Reference26 articles.
1. Y. Domae, “Recent Trends in the Research of Industrial Robots and Future Outlook,” J. Robot. Mechatron., Vol.31, No.1, pp. 57-62, 2019.
2. N. Asakawa and Y. Takeuchi, “Teachingless Spray-Painting of Sculptured Surface by an Industrial Robot,” Proc. of Int. Conf. on Robotics and Automation, pp. 1875-1879, 1997.
3. H. Chen, N. Xi, S. Kamran, Y. Chen, and J. Dahl, “Development of automated chopper gun trajectory planning,” Industrial Robot: An Int. J., Vol.31, No.3, pp. 297-307, 2004.
4. Y. Maeda and T. Nakamura, “View-based teaching/playback for robotic manipulation,” ROBOMECH J., Vol.2, Article No.2, 2015.
5. K. Brink, M. Olsson, and G. Bolmsjö, “Increased Autonomy in Industrial Robotic Systems: A Framework,” J. of Intelligent and Robotic Systems, Vol.19, pp. 357-373, 1997.