Djulil Amri
Papers
3
Total Citations
7
H-Index
2
About
Djulil Amri is a robotics and control systems researcher whose work centers on the development and optimization of autonomous robotic platforms, with a particular focus on humanoid robots and self-balancing systems. His research explores the intersection of intelligent control methodologies and practical robotic implementation, contributing meaningful insights to the field of mobile robotics. Amri's most recognized contribution is his 2024 study on position control for wheeled humanoid robots, in which he applied Type-2 Fuzzy Logic to the Swerve Drive method to achieve smoother and more accurate robotic movement — a paper that has already garnered 3 citations since publication. His earlier foundational work, a comparative analysis of PD, PI, and PID control methods applied to a two-wheeled self-balancing robot using MPU-6050 IMU sensors and the ATmega128 microcontroller, demonstrated his commitment to empirical, hardware-grounded research and has earned 2 citations. Though still building his citation profile, Amri's consistent focus on refining control strategies for complex robotic systems signals a dedicated and evolving research trajectory. Students interested in robotics control theory, embedded systems, and intelligent computing will find his work a practical and accessible entry point into these rapidly advancing domains.
Research Focus
Key Achievements
Top Papers
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