Lizeth Torres
Papers
1
Total Citations
2
H-Index
1
About
Lizeth Torres is a leading researcher in robotics and control systems, with a primary focus on the modeling and trajectory tracking control of omnidirectional mobile robots (OMRs). Her major contributions center on advancing dynamic model-based control algorithms to enhance the precision and stability of autonomous robotic platforms. In her most cited work, "Comparison of dynamic model-based control algorithms for trajectory tracking in an omnidirectional robot" (2021), she systematically evaluates PD+ and Backstepping control schemes, both derived from Lyapunov function candidates, demonstrating how these model-dependent controllers improve position tracking performance. This research has garnered attention in the field, with 2 citations, and underscores her expertise in bridging theoretical control theory with practical robotic applications. Torres’s work is notable for its rigorous comparative analysis, offering valuable insights for engineers and researchers developing robust motion control systems for mobile robots. Her achievements highlight her role in advancing autonomous navigation technologies, making her a respected figure in the robotics community.
Research Focus
Key Achievements
Top Papers
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