Patricia Angela R. Abu
Papers
2
Total Citations
14
H-Index
2
About
Patricia Angela R. Abu is a researcher whose work sits at the intersection of robotics, embedded systems, and biomedical engineering, with a clear focus on creating practical, real-world solutions. Her research spans two key areas: the development of efficient hardware architectures for robotic control, and the application of machine learning to improve robotic rehabilitation therapies. In her work on biped robots, she designed an innovative CORDIC pipelined architecture chip using binomial approximation, enabling more stable and smooth walking—a critical step toward deploying robots in challenging environments like disaster zones. This work, published in 2022, has already garnered 7 citations for its hardware efficiency. Equally impactful is her 2020 study on robotic stroke rehabilitation, where she applied imbalanced learning and outlier detection to accurately analyze compensatory movements during therapy. This contribution addresses a major hurdle in robotic therapy—incorrect movement compensation—and has also earned 7 citations. By bridging hardware design with intelligent data analysis, Abu is making strides toward both more capable robots and more effective, accessible rehabilitation tools for stroke survivors.
Research Focus
Key Achievements
Top Papers
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