Realization of High-Speed Imitation Learning for Cleaning Tools Operation-Reference-Cited by-同舟云学术

Realization of High-Speed Imitation Learning for Cleaning Tools Operation

Published:2021-11-15 Issue:4 Volume:33 Page:811-818
ISSN:1347-7986
Container-title:Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
language:en
Short-container-title:J. SOFT

Author:

SASATAKE Harumo¹,TASAKI Ryosuke²,YAMASHITA Takahito²,UCHIYAMA Naoki¹

Affiliation:

1. Department of Mechanical Engineering, Toyohashi University of Technology

2. Department of Mechanical Engineering, Aoyama Gakuin University

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Link

https://www.jstage.jst.go.jp/article/jsoft/33/4/33_811/_pdf

Reference24 articles.

1. [1] H. Sasatake et al.: “Imitation Learning System Design with Small Training Data for Flexible Tool Manipulation,” Int. J. Automation Technol., Vol.15, No.5, pp. 669-677, 2021.

2. [2] J. D. Langsfeld et al.: “Online Learning of Part Deformation Models in Robotic Cleaning of Compliant Objects,” Proc. of the ASME 2016 11th Int. Manufacturing Science and Engineering Conf., Jun. 27-Jul. 1, Virginia, Paper No.V002T04A003, 2016.

3. [3] J. D. Langsfeld et al.: “Robotic Bimanual Cleaning of Deformable Objects with Online Learning of Part and Tool Models,” Proc. of the 2016 IEEE Int. Conf. on Automation Science and Engineering, Aug. 21-25, Fort Worth, pp. 626-632, 2016.

4. [4] J. Hess et al.: “Null Space Optimization for Effective Coverage of 3D Surfaces Using Redundant Manipulators,” Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Oct. 7-12, Vilamoura, pp. 1923-1928, 2012.

5. [5] S. Elliott and M. Cakmak: “Robotic Cleaning Through Dirt Rearrangement Planning with Learned Transition Models,” Proc. of the IEEE Int. Conf. on Robotics and Automation, May 21-25, Brisbane, pp. 1623-1630, 2018.