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Climbing robots for manufacturing.

Bo Tao1, Zeyu Gong1, Han Ding1

  • 1State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

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Summary
This summary is machine-generated.

Climbing manufacturing robots offer a revolutionary approach for large component production in aviation and aerospace. This study reviews key technical challenges and future research directions for these advanced robotic systems.

Keywords:
climbing manufacturing robotclimbing robotrobotized intelligent manufacturing

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Area of Science:

  • Robotics
  • Manufacturing Engineering
  • Aerospace Engineering

Background:

  • Robotized intelligent manufacturing is crucial for large, complex components in aviation, aerospace, and marine industries.
  • Climbing robots offer expansive workspaces and flexible deployment, presenting a new manufacturing paradigm.

Purpose of the Study:

  • To define climbing manufacturing robots and analyze their key technical requirements.
  • To review the current research status, frontiers, and trends in adhesion, locomotion, localization, and control.
  • To assess the applicability of existing research to manufacturing-oriented climbing robotic systems.

Main Methods:

  • Definition of climbing manufacturing robots based on current applications.
  • Classification and review of research in adhesion, locomotion, localization, and control.
  • Analysis of research applicability for manufacturing contexts.
  • Identification of development trends and challenges in robotized intelligent manufacturing.

Main Results:

  • Identified four key technical requirements: adhesion, locomotion, localization, and control.
  • Reviewed current research status and identified frontiers and trends in each area.
  • Analyzed the applicability of research to manufacturing-oriented climbing robotic systems.

Conclusions:

  • Climbing manufacturing robots face major challenges in adhesion, motion, positioning, and control.
  • Future research should focus on addressing these challenges to advance robotized intelligent manufacturing for large-scale components.
  • Development trends include increased manufacturing dimension/scale, environmental adaptability, and cluster collaboration.