Papers
11
Total Citations
305
H-Index
7
About
Martin Grotjahn is a robotics researcher whose career has centered on the dynamics, identification, and control of both serial and parallel robotic manipulators. His most influential work addresses the critical challenge of accurately modeling robot dynamics to achieve high path precision — a problem of direct industrial relevance. His 2001 paper on friction and rigid body identification of robot dynamics has garnered 127 citations, establishing him as a leading voice in experimental parameter identification, while his 2002 work on model-based feedforward control (77 citations) demonstrated how replacing simple linear joint controllers with dynamic compensation schemes can substantially reduce path deviations caused by nonlinearities. Grotjahn made particularly notable contributions to parallel manipulator research, developing compact, real-time-capable dynamics computation methods, statistical approaches for bias-free identification under measurement noise, and systematic parametrization strategies that bridge mechanics, system theory, and intelligent control. His later work on iterative path accuracy improvement using external measurements reflects a commitment to translating theoretical advances into practical industrial application. Spanning nearly two decades, his body of work offers students and engineers a rigorous, methodologically rich foundation for understanding how precise dynamic modeling and identification underpin high-performance robot control.
Research Focus
Key Achievements
Top Papers
- 1Friction and rigid body identification of robot dynamics127 citations · 2001
- 2Model-based Feedforward Control in Industrial Robotics77 citations · 2002
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- 7Determination of Dynamic Parameters of Robots by Base Sensor Measurements10 citations · 2000
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