Papers
26
Total Citations
537
H-Index
13
About
David Cruz-Ortiz is a control systems engineer whose research sits at the intersection of advanced nonlinear control theory and robotics, with particular emphasis on sliding-mode control, barrier Lyapunov functions, and intelligent robotic systems. His most impactful contributions address the fundamental challenge of controlling constrained nonlinear systems: his 2021 work on non-singular terminal sliding-mode control for manipulator robots has accumulated 124 citations, while his 2022 study on full-state constraint nonlinear systems has garnered 105 citations, together establishing him as a leading voice in robust control design for Lagrangian-structured systems. Beyond theoretical contributions, Cruz-Ortiz demonstrates a strong commitment to translational applications, developing control frameworks for skid-steered mobile robots, quadcopter-mounted manipulators, and bioinspired inchworm robots actuated by shape memory alloys. Notably, his work extends into human-centered robotics and rehabilitation engineering, encompassing EMG-driven exoskeletons, upper-limb orthoses, and home-care nursing robots — research areas that directly benefit patient care. This breadth, spanning rigorous mathematical control theory to biomedical robotics, makes Cruz-Ortiz an exceptionally versatile researcher whose work bridges fundamental science and real-world humanitarian impact.
Research Focus
Key Achievements
Top Papers
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- 4Home-care nursing controlled mobile robot with vital signal monitoring26 citations · 2022
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