Papers
3
Total Citations
49
H-Index
3
About
Dr. C. Aguilar is a pioneering researcher at the intersection of robotics, control theory, and global health diagnostics. Her work is defined by two key areas: the mathematical modeling and control of robotic systems, and the development of accessible medical technologies. In robotics, she introduced a modified Euler-Lagrange method for modeling robotic arms, a significant contribution that simplifies the process by eliminating the need for Jacobians and inertia tensors. This foundational work, detailed in her 2014 paper (16 citations), has provided a more streamlined approach to understanding robotic dynamics. She further advanced this field with optimal control strategies for cylindrical robotic arms (2011, 11 citations), demonstrating her deep expertise in system optimization. Dr. Aguilar’s most impactful work, however, bridges engineering and medicine. Her 2021 paper on a "3D-Printed Portable Robotic Mobile Microscope for Remote Diagnosis of Global Health Diseases" (22 citations) showcases her commitment to solving real-world problems. This invention directly addresses the critical shortage of trained microscopists in underserved regions, offering a low-cost, automated solution for diagnosing diseases like malaria and tuberculosis. By integrating robotics with 3D printing, she has created a tool that could democratize access to quality healthcare, making her a notable figure in the field of global health technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Passivity analysis and modeling of robotic arms16 citations · 2014
- 3Optimal control based in a mathematical model applied to robotic arms11 citations · 2011