Papers
4
Total Citations
35
H-Index
3
About
J. Armendariz is a researcher specializing in robotics, control systems, and nondestructive material characterization. Their work bridges intelligent control theory and practical sensing applications, with a focus on force feedback, contact mechanics, and adaptive robot manipulation. A key contribution is the development of a force feedback controller using fuzzy-rules emulated networks and Hertzian contact theory with ultrasound sensors (2011, 20 citations), enabling precise, minimally intrusive determination of contact forces and areas—critical for manipulating fragile objects in robotics and for nondestructive monitoring of biological and engineering materials. Armendariz has also advanced adaptive control for robot manipulators, proposing a dynamic self-tuning PD controller with bounded time-varying gains (2012, 6 citations) and a regressor-free PD-like control scheme (2013, 2 citations). These works address the challenge of trajectory tracking under unknown dynamics, using neuro-fuzzy recurrent tuning to simplify controller design while maintaining passivity and stability. With over 35 cumulative citations, Armendariz’s research offers practical, intelligent solutions for real-world robotic systems, demonstrating a commitment to simple, effective control policies that reduce dependency on complex system models.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Dynamic self-tuning PD control for tracking of robot manipulators6 citations · 2012
- 4Regressor-free tracking of robots with self-tuning PD-like control2 citations · 2013