Papers
3
Total Citations
42
H-Index
3
About
Jorge Armendariz is a researcher whose work lies at the intersection of robotics, intelligent control, and human-robot interaction. His primary research areas include neuro-fuzzy control systems, adaptive PID control, and force-feedback control for robotic manipulators. Armendariz’s most significant contribution is the development of a neuro-fuzzy self-tuning PID controller that achieves semiglobal exponential tracking for robot arms, a breakthrough that enhances precision and adaptability in robotic motion control. This work, published in 2014, has garnered 31 citations, reflecting its influence in the field. He extended this approach to model-free force-position control, demonstrating robust performance in complex interaction tasks. Notably, Armendariz also pioneered a novel force controller that integrates a neuro-fuzzy algorithm with a Hertzian contact-based ultrasonic probe, enabling estimated force feedback without traditional sensors. This innovative design, detailed in his 2010 paper, combines fuzzy rule emulated networks (FREN) with a Cartesian robotic system, offering a cost-effective solution for delicate manipulation tasks. His contributions advance the practical implementation of intelligent control in robotics, with potential applications in manufacturing and assistive technologies.
Research Focus
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