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Human skill integrated motion planning of assembly manipulation for 6R industrial robot

Yi Liu (Dalian University of Technology, Dalian, Liaoning, China)
Ming Cong (Dalian University of Technology, Dalian, Liaoning, China)
Hang Dong (Dalian University of Technology, Dalian, Liaoning, China)
Dong Liu (Dalian University of Technology, Dalian, Liaoning, China)

Industrial Robot

ISSN: 0143-991x

Article publication date: 3 April 2019

Issue publication date: 12 April 2019

282

Abstract

Purpose

The purpose of this paper is to propose a new method based on three-dimensional (3D) vision technologies and human skill integrated deep learning to solve assembly positioning task such as peg-in-hole.

Design/methodology/approach

Hybrid camera configuration was used to provide the global and local views. Eye-in-hand mode guided the peg to be in contact with the hole plate using 3D vision in global view. When the peg was in contact with the workpiece surface, eye-to-hand mode provided the local view to accomplish peg-hole positioning based on trained CNN.

Findings

The results of assembly positioning experiments proved that the proposed method successfully distinguished the target hole from the other same size holes according to the CNN. The robot planned the motion according to the depth images and human skill guide line. The final positioning precision was good enough for the robot to carry out force controlled assembly.

Practical implications

The developed framework can have an important impact on robotic assembly positioning process, which combine with the existing force-guidance assembly technology as to build a whole set of autonomous assembly technology.

Originality/value

This paper proposed a new approach to the robotic assembly positioning based on 3D visual technologies and human skill integrated deep learning. Dual cameras swapping mode was used to provide visual feedback for the entire assembly motion planning process. The proposed workpiece positioning method provided an effective disturbance rejection, autonomous motion planning and increased overall performance with depth images feedback. The proposed peg-hole positioning method with human skill integrated provided the capability of target perceptual aliasing avoiding and successive motion decision for the robotic assembly manipulation.

Keywords

Acknowledgements

The work of this article has been partially supported by Provincial Key Technology Research and Innovation Program under Grant no.2015106011.

Citation

Liu, Y., Cong, M., Dong, H. and Liu, D. (2019), "Human skill integrated motion planning of assembly manipulation for 6R industrial robot", Industrial Robot, Vol. 46 No. 1, pp. 171-180. https://doi.org/10.1108/IR-09-2018-0189

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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