Alejandra Rojas Arias

Papers

Total Citations

H-Index

About

Alejandra Rojas Arias is a robotics researcher specializing in the control and design of hybrid locomotion systems, with a particular focus on leg-wheel robots. Her most-cited work, "Design of Sliding Mode Based Differential Flatness Control of Leg-Wheel Hybrid Robot" (2016), introduces an innovative control strategy that combines sliding mode control with differential flatness theory. This approach stabilizes error dynamics in the presence of unmodeled system behaviors by using position, velocity, and acceleration as reference values, while only requiring feedback from position and velocity measurements—a practical solution for real-world robotic systems. Though her citation count is modest, with this paper garnering 3 citations, her contribution addresses a critical challenge in hybrid robotics: achieving robust trajectory planning and control without full-state feedback. This work is notable for its potential to enhance the agility and reliability of robots operating in complex, unstructured environments, bridging the gap between theoretical control methods and applied robotics. Rojas Arias’ research is particularly valuable for students and engineers exploring advanced control techniques in mobile robotics, offering a foundation for future innovations in autonomous navigation and human-robot interaction.