Yolanda Vidal
Papers
1
Total Citations
2
H-Index
1
About
Yolanda Vidal is a leading researcher in robotics and control systems, with a focus on advanced nonlinear control strategies for robot manipulators. Her work addresses critical challenges in precision and stability, particularly through the development of computed-torque-plus-compensation-plus-chattering controllers, which enhance tracking accuracy while mitigating harmful chattering effects in robotic systems. This foundational contribution, detailed in her 2009 paper, has garnered 2 citations and laid the groundwork for more robust control designs. Vidal’s research also extends to topology optimization and multiscale analysis, where she explores the integration of asymptotic expansion homogenization (AEH) into structural design—a key area for improving the performance and efficiency of robotic components. Her notable achievements include pioneering approaches that bridge control theory and structural optimization, offering practical solutions for real-world robotics applications. With a career marked by interdisciplinary innovation, Vidal continues to influence both theoretical advancements and applied engineering, making her work essential for students and researchers seeking to understand the intersection of control, dynamics, and design in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1