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About

Jobst Bickendorf is a leading figure in the automation of heavy manufacturing, specializing in the integration of industrial robotics with computer-aided design for shipbuilding and large-scale fabrication. His core research focuses on developing fully automatic offline-programming systems for robotic cutting and welding, a field where he has made pioneering contributions. Bickendorf’s work addresses the critical challenge of linking parametric design directly to robot control, eliminating the need for manual programming in complex environments. His most cited paper, "Dynamic performance of industrial robot with CNC controller" (2016, 11 citations), explores the precision and behavior of robots under real-world manufacturing conditions. Earlier foundational studies, such as "Robot cutting in ship building industry" (2010, 3 citations) and "Robotic Welding of Ship-Subassemblies" (2014, 5 citations), established novel methods for processing CAD data to automate the programming of welding and cutting tasks. By systematically tackling the variability of CAD models and process planning, Bickendorf has enabled flexible, efficient automation for industries where traditional macro-based or camera-guided programming falls short. His work represents a significant step toward fully autonomous fabrication in shipbuilding and heavy industry.