Daniel Gamez-Herrera
Papers
1
Total Citations
3
H-Index
1
About
Daniel Gamez-Herrera is a leading researcher in adaptive control systems and robotics, with a particular focus on the precise motion control of robotic manipulators. His major contributions lie in developing composite adaptive control strategies that address the persistent challenge of friction and disturbances in robot dynamics. His most cited work, "Composite Adaptive Control of Robot Manipulators with Friction as Additive Disturbance" (2025), introduces an innovative control scheme combining estimated feed-forward compensation with a PD control law and three independent estimators. This approach enables real-time identification of inertial parameters and friction effects, significantly improving trajectory tracking accuracy in joint space. With 3 citations already in its early publication, this work is gaining traction for its practical applicability in industrial robotics. Gamez-Herrera’s research bridges theoretical control design and real-world implementation, offering robust solutions for high-precision automation. His work is essential reading for students and engineers seeking to understand advanced adaptive control methods for robotic systems operating under uncertain and frictional conditions.
Research Focus
Key Achievements
Top Papers
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