Daniel Overbeck

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About

Dr. Daniel Overbeck is a leading researcher in the field of industrial robotics, with a primary focus on robotic machining and process planning. His work addresses the critical challenge of using industrial robots for high-precision machining tasks, where inherent low stiffness and positioning inaccuracies have traditionally limited their industrial adoption. Overbeck’s major contribution lies in developing strategies to reduce and compensate for process force-induced accuracy influences, as detailed in his highly cited 2012 paper (32 citations). This foundational work explores how to mitigate the negative effects of robot compliance during milling operations. He further advanced the field by establishing a holistic process planning chain for robot machining (2017, 9 citations), creating a systematic framework that integrates toolpath generation, force prediction, and error compensation. Overbeck’s research bridges the gap between conceptual feasibility and practical industrial application, making robotic machining a viable alternative to expensive CNC machine tools. His work is essential reading for engineers and researchers seeking to unlock the full potential of industrial robots in manufacturing, demonstrating how to achieve the required workpiece quality through intelligent control and planning strategies.