Review on robot-assisted polishing:Status and future trends


Nowadays, precision components have been extensively used in various industries such as biomedicine, photonics, and optics. To achieve nanometric surface roughness, high-precision polishing is mandatory. Compared with the conventional polishing techniques, the robot-assisted polishing has the advantages of flexible working ranges and low cost. Therefore, it has been more widely deployed in demanding polishing tasks. However, few review articles were found on this topic to provide a general progress on the development of the robot-assisted polishing technology. This paper reviews the recent advancement of the robot-assisted polishing. Firstly, the integration of robots with various polishing techniques is overviewed, followed by the introduction of the research status of constant force control in robot-assisted polishing. Then, the errors in typical robot-assisted polishing systems are analyzed, together with the corresponding compensation methods. At last, the future trends in the development of robot-assisted polishing are discussed. This review is intended as a roadmap for researchers or engineers who are interested in robot-assisted polishing or machining.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
Additional Information: © 2022 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license Funding Information: This work was supported by the Natural Science Foundation of Fujian Province, China ( 2022J011245 ); the research office of the Hong Kong Polytechnic University (Project code: BBXL, BD9B ); Accelerator and Detector Research Program ( FWP# PS032 ); Office of Science of the United States ( DE-SC0012704 ); Brookhaven National Laboratory ( BNL LDRD 17-016 ).
Uncontrolled Keywords: Polishing,Robot-assisted polishing,Force control,Error compensation,Ultra-precision machining
Publication ISSN: 0736-5845
Last Modified: 20 Jun 2024 07:17
Date Deposited: 04 Nov 2022 17:18
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 736584522001648 (Publisher URL)
PURE Output Type: Review article
Published Date: 2023-04
Published Online Date: 2022-10-29
Accepted Date: 2022-10-22
Authors: Ke, Xiaolong
Yu, Yongheng
Li, Kangsen
Wang, Tianyi
Zhong, Bo
Wang, Zhenzhong
Kong, Lingbao
Guo, Jiang
Huang, Lei
Idir, Mourad
Liu, Chao (ORCID Profile 0000-0001-7261-3832)
Wang, Chunjin

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