Sergio Aguillera
Papers
1
Total Citations
2
H-Index
1
About
Sergio Aguillera is a robotics researcher specializing in humanoid locomotion and control systems, with a particular focus on wheeled inverted pendulum (WIP) platforms. His most cited work, "Online Center of Mass Estimation for a Humanoid Wheeled Inverted Pendulum Robot," introduces a novel approach that combines robust control with online learning to address the challenge of balancing multi-degree-of-freedom humanoid robots. By condensing mass model inaccuracies into a Center of Mass (CoM) error, Aguillera’s method enables stable balancing even under uncertain dynamics, while leveraging real-time data to refine performance. Although his citation count is modest, this work represents a meaningful step toward more adaptive and resilient humanoid robots, particularly for applications in assistive robotics and mobile manipulation. Aguillera’s contributions highlight the intersection of control theory and machine learning, offering a practical framework for handling model imperfections in complex robotic systems. His research is of interest to students and engineers working on dynamic balancing, humanoid design, and real-time estimation techniques.
Research Focus
Key Achievements
Top Papers
- 1