Advances in Robotic-Assisted Manufacturing Systems

Special Issue Editor


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Guest Editor
School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Interests: bionic robotics; intelligent manufacturing technology; industry robotics

Special Issue Information

Dear Colleagues,

Robots have typical advantages such as easy installation, flexible use, high degrees of freedom, strong load capacity, and the ability to operate in hazardous environments. Robots can serve as industrial platforms, paired with different end effectors, to complete various manufacturing processes, such as processing, assembly, laying, welding, handling, and measurement. Moreover, in different manufacturing processes, it can replace humans in order to achieve digital and intelligent manufacturing. In recent years, with the advancement of high-precision execution capabilities, multifunctional end effectors, human–machine interaction, rapid programming, multi-machine collaboration, sensors, and other technologies, robots are receiving significant attention in the manufacturing field, and more and more robot-assisted manufacturing systems are being applied in industrial production sites.

In this Special Issue of JMMP, we are looking for recent findings which focus on Robotic-Assisted Manufacturing Systems, including research on their application and associated research fields. Papers will be considered that show significant advancements according to human–machine integration, digital twins, human–machine collaboration, reconfigurable robots, autonomous mobile robots, intelligent robots, and typical applications of robots in various manufacturing processes.

Dr. Zhanxi Wang
Guest Editor

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Keywords

  • collaborative robots
  • industrial robots
  • biomimetic robots
  • auxiliary assembly
  • intelligent measurement
  • polishing
  • hole making
  • welding
  • composite material laying
  • human–machine interaction
  • machine vision

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Published Papers (1 paper)

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Research

15 pages, 3625 KiB  
Article
Research on Robot Cleaning Path Planning of Vertical Mixing Paddle Surface
by Zhouzheng Shi, Leiyang Guo, Jingde Li, Ni Cao, Xiansheng Qin and Zhanxi Wang
J. Manuf. Mater. Process. 2025, 9(6), 198; https://doi.org/10.3390/jmmp9060198 - 12 Jun 2025
Viewed by 240
Abstract
The safe removal of residual flammable contaminants from vertical mixer blades is a crucial challenge in aerospace propellant production. While robotic cleaning has become the preferred solution due to its precision and operational safety, the complex helical geometry of mixer blades presents significant [...] Read more.
The safe removal of residual flammable contaminants from vertical mixer blades is a crucial challenge in aerospace propellant production. While robotic cleaning has become the preferred solution due to its precision and operational safety, the complex helical geometry of mixer blades presents significant challenges for robotic systems, primarily in three aspects: (1) dynamic sub-region division, requiring simultaneous consideration of functional zones and residue distribution, (2) ensuring path continuity across surfaces with varying curvature, and (3) balancing time–energy efficiency in discontinuous cleaning sequences. To address these challenges, this paper proposes a novel robotic cleaning path planning method for complex curved surfaces. Firstly, we introduce a blade surface segmentation approach based on the k-means++ clustering algorithm, along with a sub-surface patch boundary determination method using parameterized curves, to achieve precise surface partitioning. Subsequently, robot cleaning paths are planned for each sub-surface according to cleaning requirements and tool constraints. Finally, with total cleaning time as the optimization objective, a genetic algorithm is employed to optimize the path combination across sub-facets. Extensive experimental results validate the effectiveness of the proposed method in robotic cleaning path planning. Full article
(This article belongs to the Special Issue Advances in Robotic-Assisted Manufacturing Systems)
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