Papers
22
Total Citations
514
H-Index
13
About
Rogelio Soto is a prominent robotics and control systems researcher whose work spans intelligent control, humanoid robotics, rehabilitation engineering, and autonomous systems. He is perhaps best known for his contributions to advanced PID control methodologies, particularly his highly cited 2011 work on fuzzy self-tuning PID controllers for robot manipulators, which garnered 168 citations and established a rigorous semiglobal stability framework using Lyapunov theory. His parallel investigations into passivity-based nonlinear PID regulators further cemented his theoretical foundations in robot control. Soto's research extends meaningfully into rehabilitation robotics and human-machine interaction, with notable work on neural decoding of robot-assisted gait for stroke patients and the development of adaptable gait pattern generators derived from lower limb exoskeletons — reflecting a commitment to translating engineering advances into clinical impact. His 2012 paper on a 16-DOF humanoid biped robot with an active toe joint demonstrated his ambitions in biomimetic locomotion design. Beyond control and rehabilitation, Soto has addressed autonomous multi-robot exploration, service-oriented robotics platforms, and semi-active vehicle suspension systems using fuzzy H∞ control. With over 420 cumulative citations across his most recognized publications, his interdisciplinary portfolio represents a sustained and impactful career bridging theoretical control engineering with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy Self-Tuning PID Semiglobal Regulator for Robot Manipulators168 citations · 2011
- 2Neural Decoding of Robot-Assisted Gait During Rehabilitation After Stroke47 citations · 2018
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- 5A Behavior-Based Strategy for Single and Multi-Robot Autonomous Exploration32 citations · 2012
- 6<i>H</i><sub>∞</sub>control of a suspension with a magnetorheological damper30 citations · 2012
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