Nelson Sotomayor
Papers
2
Total Citations
10
H-Index
2
About
Nelson Sotomayor is a robotics and control systems researcher whose work focuses on intelligent control strategies for autonomous mobile robots and industrial manipulators. His most impactful contribution, "A fuzzy sliding mode controller from a reduced order model: A mobile robot experimental application" (2017, 8 citations), introduces a novel Sliding Mode Control enhanced with a Fuzzy PD+I surface. This approach is specifically designed for mobile robots whose dynamics can be approximated by first-order-plus-deadtime (FOPDT) models, offering a robust alternative to traditional PID-based sliding mode controllers. The work demonstrates significant practical value through experimental validation on a wheeled mobile robot. Sotomayor also contributed to the field of industrial robotics with his work on trajectory tracking and palletizing control for a three-degree-of-freedom SCARA robot (2014), detailing the assembly and control of this selective compliance manipulator. His research bridges theoretical control design with real-world robotic applications, particularly in scenarios requiring robust performance under model uncertainties. While his citation counts reflect a focused, emerging impact, Sotomayor's work represents a meaningful step toward more adaptive and reliable control systems for autonomous and industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 2