Review on robot-assisted polishing: Status and future trends

Xiaolong Ke, Yongheng Yu, Kangsen Li, Tianyi Wang, Bo Zhong, Zhenzhong Wang, Lingbao Kong, Jiang Guo, Lei Huang, Mourad Idir, Chao Liu, Chunjin Wang

Research output: Contribution to journalReview articlepeer-review


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.
Original languageEnglish
Article number102482
Number of pages28
JournalRobotics and Computer-Integrated Manufacturing
Early online date29 Oct 2022
Publication statusPublished - Apr 2023

Bibliographical note

© 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 ).


  • Polishing
  • Robot-assisted polishing
  • Force control
  • Error compensation
  • Ultra-precision machining


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