J. Shaefers
Papers
1
Total Citations
3
H-Index
1
About
J. Shaefers is a researcher whose work centers on the parameter identification and dynamic modeling of industrial robots. Their key contribution lies in advancing the mathematical rigor of robot calibration, particularly through the analysis of sensitivity and error bounds. In their most cited paper (2002), Shaefers derived an upper bound for the sensitivity of the condition number of optimal exciting trajectories, providing a critical framework for understanding how parameter variations affect identification accuracy. They also established a norm-type bound for estimation errors, offering a theoretical guarantee for the reliability of identified parameters. While this foundational work has accumulated 3 citations, it represents a focused contribution to the robotics community, where precision in robot modeling is essential for control and performance. Shaefers’ research is notable for its analytical depth, bridging the gap between theoretical optimization and practical robot calibration. Their work serves as a reference for engineers and researchers seeking to improve the accuracy and robustness of parameter estimation in industrial robotics, making it a valuable resource for those entering the field of robot dynamics and control.
Research Focus
Key Achievements
Top Papers
- 1