Papers
13
Total Citations
462
H-Index
10
About
Manuel Drust is a leading researcher in industrial robotics, specializing in robotic machining, precision compensation, and automated deburring systems. His work addresses the fundamental challenge of improving robot accuracy for manufacturing tasks, where traditional industrial robots suffer from stiffness and positioning errors. Drust’s most influential contribution is his 2014 paper on “Improving robotic machining accuracy through experimental error investigation and modular compensation,” which has garnered 134 citations and established a systematic framework for identifying and correcting machining errors. He further advanced the field with his integrated macro/micro-actuation approach (56 citations) and the development of a parallel 3D-piezo compensation mechanism for high-bandwidth spindle positioning. Drust was a key contributor to the COMET Project, which demonstrated practical solutions for robotic machining in industrial settings. His research on detection of workpiece shape deviations for adaptive tool paths (46 citations) has been particularly impactful for robotic deburring, enabling automation of complex edge-finishing processes. More recently, Drust has focused on making robotic systems accessible for small and medium enterprises, developing intuitive programming systems that allow process experts rather than robotics specialists to deploy deburring automation. His work bridges the gap between theoretical accuracy improvements and practical industrial implementation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Integrated approach to robotic machining with macro/micro-actuation56 citations · 2014
- 3Machining with Industrial Robots: The COMET Project Approach51 citations · 2013
- 4
- 5Experimental Investigation of Sources of Error in Robot Machining45 citations · 2013
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- 10Automatic Programming and Control for Robotic Deburring15 citations · 2016