Papers
11
Total Citations
455
H-Index
8
About
Christian Lehmann is a researcher specializing in industrial robotics, robotic machining, and flexible manufacturing automation. His work sits at the intersection of precision engineering and intelligent manufacturing systems, with a particular focus on overcoming the inherent limitations of industrial robots in high-accuracy machining applications. Lehmann's most significant contributions address the longstanding challenge of low stiffness and positional inaccuracy in robot-based machining. His 2014 paper on experimental error investigation and modular compensation (134 citations) stands as his most influential work, offering practical frameworks for improving machining accuracy that have been widely adopted by the research community. Complementing this, his contributions to the COMET project and milling strategy optimization established foundational approaches for deploying industrial robots in tasks traditionally reserved for rigid CNC machines. Beyond machining, Lehmann contributed to the SMErobotics initiative (107 citations), advancing smart, adaptable robotic systems tailored for small and medium-sized enterprises facing dynamic production demands. His research also extends into biotechnology, with notable work on automated high-throughput cellulase screening platforms. With accumulated citations exceeding 450 across his published works, Lehmann's research has meaningfully shaped both industrial robotics practice and flexible manufacturing strategy.
Research Focus
Key Achievements
Top Papers
- 1
- 2SMErobotics: Smart Robots for Flexible Manufacturing107 citations · 2019
- 3
- 4Machining with Industrial Robots: The COMET Project Approach51 citations · 2013
- 5Robot Joint Modeling and Parameter Identification Using the Clamping Method38 citations · 2013
- 6
- 7Milling strategies optimized for industrial robots to machine hard materials11 citations · 2013
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- 10