Papers
2
Total Citations
5
H-Index
2
About
D. Muro-Maldonado is a robotics researcher whose work focuses on the control and trajectory optimization of robotic manipulators, with a particular emphasis on redundant systems. Their major contributions lie at the intersection of classical control theory and real-time kinematic optimization. In their most cited work, "Sliding PID Control for Trajectory Tracking of a 2 DOE Robot Manipulator," Muro-Maldonado explored the stability and performance of PID-based controllers for robot arms, addressing fundamental challenges in regulation and tracking without gravity compensation. This foundational study, with 3 citations, helped bridge simulation and experimental validation for industrial manipulators. Their second notable paper, "On-line free inverse kinematics joint/cartesian optimal control of redundant manipulators," introduced a novel framework that eliminates the need for explicit inverse kinematics during task execution. By combining a Cartesian PID stabilization loop with joint-space optimal control, Muro-Maldonado demonstrated how to improve tracking performance in real time—a significant achievement for redundant robots operating in complex environments. Though their citation counts are modest, Muro-Maldonado’s work is valued for its practical, computationally efficient approach to nonlinear control, offering clear pathways for students and engineers seeking to implement robust, real-time control in robotic systems.
Research Focus
Key Achievements
Top Papers
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