Alberto-Ismael Castillo-Lopez
Papers
1
Total Citations
12
H-Index
1
About
Alberto-Ismael Castillo-Lopez is a control systems researcher whose work focuses on trajectory tracking and sliding mode control for mobile robotics, particularly differential drive robots. His most cited paper, "Trajectory tracking using continuous sliding mode algorithms for differential drive robots" (2017, 12 citations), makes a significant contribution by analyzing two distinct robot models with different relative degrees. In the first model, where wheel velocities serve as control inputs and the system outputs have a relative degree of 1, Castillo-Lopez implements the Super Twisting Algorithm—a continuous sliding mode technique that effectively reduces chattering while maintaining robust tracking performance. This work addresses a fundamental challenge in mobile robotics: achieving precise, smooth trajectory following despite system uncertainties and disturbances. While his citation count reflects a growing body of work in this specialized area, his research bridges theoretical control theory with practical robotic applications, offering engineers and researchers accessible solutions for real-world implementation. Castillo-Lopez's contributions are particularly valuable for students and practitioners working on autonomous navigation systems, as his methods provide a clear framework for designing robust controllers that balance theoretical rigor with practical effectiveness in differential drive platforms.
Research Focus
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Top Papers
- 1