19/05/2026
Congratulations to ๐๐ฟ. ๐๐ฎ๐ป ๐ฃ. ๐๐ฒ๐ป๐ถ๐๐ฒ๐ and co-authors ๐๐ฎ๐ฟ๐น ๐ฅ๐ฎ๐ฝ๐ต๐ฎ๐ฒ๐น ๐๐ฟ๐ถ๐ปฬ๐ฎ๐, ๐๐ผ๐ต๐ป ๐ฃ๐ฎ๐๐น ๐ฅ๐ฒ๐น๐ฎ๐๐ถ๐๐ผ, ๐ฅ๐ถ๐ฐ๐ฎ ๐ ๐ฎ๐ฒ ๐๐ถ๐๐ฒ๐ป๐ถ๐ผ, and ๐ก๐ฒ๐๐๐ผ๐ฟ ๐๐ผ๐๐ฒ ๐๐๐ฎ on their published research in ๐๐๐๐ ๐ซ๐ฝ๐น๐ผ๐ฟ๐ฒ!
Their paper "๐๐๐ผ๐น๐๐๐ถ๐ผ๐ป๐ฎ๐ฟ๐ ๐ ๐ผ๐๐ผ๐ฟ ๐๐ผ๐บ๐บ๐ฎ๐ป๐ฑ ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐๐๐๐๐-๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ง๐๐ฟ๐ป ๐๐ผ๐ฟ๐ฟ๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ณ๐ผ๐ฟ ๐๐ฟ๐ฑ๐๐ถ๐ป๐ผ ๐ข๐ฏ๐๐๐ฎ๐ฐ๐น๐ฒ ๐๐๐ผ๐ถ๐ฑ๐ฎ๐ป๐ฐ๐ฒ ๐ฅ๐ผ๐ฏ๐ผ๐๐" - pushes the boundaries of intelligent robotics, making systems more adaptive and responsive in dynamic environments.
This is what happens when research meets passion. Well done, team!
๐๐ข๐ก๐๐ฅ๐๐ง๐จ๐๐๐ง๐๐ข๐ก๐ฆ | The Research and Development Services Office (RDSO) extends its warmest congratulations to Dr. Ian P. Benitez together with co-authors Karl Raphael Briรฑas, John Paul Relativo, Rica Mae Bisenio, and Nestor Jose Awa for the successful publication of their research paper, โEvolutionary Motor Command Optimization and Fuzzy-based Turn Correction for Arduino Obstacle Avoidance Robots,โ in IEEE Xplore, a Scopus-indexed journal.
The study explored innovative approaches to improve the movement efficiency and turning accuracy of Arduino-based obstacle-avoidance robots. Through the integration of evolutionary motor command optimization and fuzzy-based turn correction, the research contributes to the advancement of more adaptive, responsive, and intelligent robotic systems suitable for dynamic environments.
This achievement highlights the dedication of both faculty researchers and student innovators to advancing research excellence, technological innovation, and global academic engagement. It also reflects the institutionโs continuing commitment to producing impactful research that contributes to the growing field of intelligent systems and robotics.