Advancements in perception technologies and computational science are enabling robots to handle increasingly unstructured and dynamic tasks, expanding their applications across various industries. This paper presents an automation solution for the composites sector, where manufacturing remains heavily reliant on manual labor. The proposed system is tested in the production of composite components for wind turbine blades and luxury boats—industries facing growing demand and a shortage of skilled workers, particularly in the renewable energy sector. The automation framework employs a dynamic path-planning methodology that recalculates robot trajectories for each production cycle to accommodate varying part geometries. To achieve real-time, collision-free motion, the solution integrates Linear Interpolation (LIP) and Spherical Linear Interpolation (SLIP) with a precisely calibrated digital twin. This approach ensures adaptive and efficient robotic operation, paving the way for increased automation in composite manufacturing.

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Deployment of Robots for the Automation in the Composites Industry

  • Simon Vinkel,
  • Ali Muhammad

摘要

Advancements in perception technologies and computational science are enabling robots to handle increasingly unstructured and dynamic tasks, expanding their applications across various industries. This paper presents an automation solution for the composites sector, where manufacturing remains heavily reliant on manual labor. The proposed system is tested in the production of composite components for wind turbine blades and luxury boats—industries facing growing demand and a shortage of skilled workers, particularly in the renewable energy sector. The automation framework employs a dynamic path-planning methodology that recalculates robot trajectories for each production cycle to accommodate varying part geometries. To achieve real-time, collision-free motion, the solution integrates Linear Interpolation (LIP) and Spherical Linear Interpolation (SLIP) with a precisely calibrated digital twin. This approach ensures adaptive and efficient robotic operation, paving the way for increased automation in composite manufacturing.