Phat Nguyen Huu

Hanoi University of Science and Technology

Papers

Total Citations

H-Index

About

Phat Nguyen Huu is a researcher at the forefront of human-robot interaction and intelligent control systems, with a primary focus on gesture recognition and robotic manipulation. His most impactful work, "Hand Gesture Recognition Algorithm Using SVM and HOG Model for Control of Robotic System" (2021, 35 citations), develops a robust framework combining support vector machines (SVM) with histogram of oriented gradient (HOG) features, alongside CNN-based classification, to enable real-time gesture-driven robotic control. This contribution has become a foundational reference for researchers seeking efficient, low-computation solutions in assistive robotics. Huu extends this work to smart-home applications, proposing a similar HOG-SVM algorithm to enhance user-friendly home automation. Additionally, his design of a robotic arm for rescue applications (2022) addresses critical needs in disaster response, demonstrating a practical system for object retrieval and movement in hazardous environments. Through these efforts, Huu bridges advanced machine learning with tangible robotic systems, achieving a citation impact that underscores the relevance of his work in both academic and applied engineering contexts. His research continues to inspire innovations in autonomous assistance and human-machine collaboration.