Enrique Jimenez-Vazquez
Papers
1
Total Citations
2
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1
About
Enrique Jiménez-Vázquez is a robotics researcher specializing in system identification and dynamic modeling of humanoid platforms, with a particular focus on the SoftBank NAO™ robot. His work addresses a critical challenge in robotics: the limited access to proprietary parameters in closed commercial platforms. In his most-cited paper, "Model approximation of an arm of the NAO™ robot using system identification" (2021), he proposed a novel methodology to derive accurate dynamic models from experimental data, enabling researchers to better understand and control the robot’s behavior without manufacturer specifications. This contribution is foundational for advancing motion planning, control, and simulation in humanoid robotics. While his citation count is modest, his work demonstrates practical impact by bridging the gap between proprietary hardware and open research. Jiménez-Vázquez’s approach exemplifies how system identification techniques can unlock the potential of commercial robots for academic study, making his research valuable for students and engineers working with constrained robotic platforms.
Research Focus
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Top Papers
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