Peter Stueckelmaier
Papers
1
Total Citations
2
H-Index
1
About
Peter Stueckelmaier is a robotics researcher focused on the precise control and dynamic modeling of serial manipulators. His primary contribution lies in the identification of inverse dynamics for robot drive control, a critical area for improving the accuracy and efficiency of industrial and collaborative robots. His most-cited work, "Identification of the Inverse Dynamics of a Serial Robot for Robot Drive Control" (2015), addresses the challenge of deriving accurate dynamic models from experimental data, enabling more robust and responsive control systems. While his citation count remains modest, his research targets a foundational problem in robotics—bridging the gap between theoretical dynamics and real-world actuator performance. Stueckelmaier’s work is particularly relevant for engineers developing high-precision robotic systems, where model-based control is essential for tasks like assembly, machining, or human-robot interaction. His approach emphasizes practical implementation, making his findings valuable for both academic researchers and industry practitioners seeking to optimize robot drive performance.
Research Focus
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Top Papers
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