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The article explores how to resolve challenges in putting together electrical cabinets, particularly in managing wires and cables, with a focus on deformable linear objects (DLO). The study combines complex systems design techniques (CSDT) framework and the theory of inventive problem solving (TRIZ) in a structured way to handle and uncover creative ways to achieve desired results. The gripper model was derived from the methodology and by suggesting the reinforcement learning algorithm to enhance the route planning and further improving the adaptation of the electrical cabinet process for optimal assembly.

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Enhanced Gripper Design for Manufacturing of Electrical Cabinet Assembly and Cable Routing Process in Lean Robotics

  • 会议论文

  • 发表日期：

    2025年

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  • Stelian Brad,
  • Bogdan Balog,
  • Vlad Florian,
  • Eyas Deeb,
  • Ovidiu Stan

摘要

The article explores how to resolve challenges in putting together electrical cabinets, particularly in managing wires and cables, with a focus on deformable linear objects (DLO). The study combines complex systems design techniques (CSDT) framework and the theory of inventive problem solving (TRIZ) in a structured way to handle and uncover creative ways to achieve desired results. The gripper model was derived from the methodology and by suggesting the reinforcement learning algorithm to enhance the route planning and further improving the adaptation of the electrical cabinet process for optimal assembly.