Karl Gotlih
Papers
9
Total Citations
93
H-Index
5
About
Dr. Karl Gotlih is a pioneering researcher in robotics whose work spans over three decades, from foundational mechanism synthesis to cutting-edge robotic machining. His primary research areas include robot accuracy improvement, structural stiffness calibration, and optimal control of redundant manipulators. Dr. Gotlih’s most impactful contribution is his work on enhancing the precision of industrial robots for machining tasks, where he developed methods to determine robot structural properties and optimize workpiece positioning—achieving up to 32 citations for his 2020 paper on accuracy improvement. He also made significant strides in understanding velocity anisotropy in industrial robots (12 citations) and designed an fMRI-compatible haptic robot (8 citations), demonstrating the breadth of his expertise. Notably, his early work on task-dependent synthesis of robot mechanism parameters (1993) laid the groundwork for optimizing robot geometry for specific applications. Dr. Gotlih’s research has directly addressed the critical challenge of making robots more accurate and reliable for manufacturing, bridging the gap between traditional CNC machines and flexible robotic systems. His contributions continue to influence modern approaches to robotic machining and structural calibration.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Velocity anisotropy of an industrial robot12 citations · 2010
- 4Design and analysis of an fMRI compatible haptic robot8 citations · 2010
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- 6
- 7Global optimal control of redundant robot5 citations · 1996
- 8
- 9A reverse engineering technique for creating virtual robots2 citations · 2012