Dzulkiflih
Papers
1
Total Citations
7
H-Index
1
About
Dzulkiflih’s research focuses on the intersection of robotics, control systems, and autonomous navigation, with a particular emphasis on improving the precision and reliability of mobile robots. His most-cited work, “Control Position of Mobile Robot Based on Odometry Method and PID Controller” (2020), introduces a differential drive kinematic robot that uses odometry for real-time position tracking and a Proportional Integral Derivative (PID) controller to enhance movement accuracy. This contribution addresses a fundamental challenge in robotics—how to ensure a robot reaches a target position with minimal error—and has garnered 7 citations, reflecting its practical relevance for students and engineers developing low-cost, efficient navigation systems. Dzulkiflih’s work is notable for its hands-on, application-driven approach, bridging theoretical control theory with tangible robotic implementation. His research offers a clear entry point for those exploring autonomous systems, demonstrating how classical control methods can be adapted for modern mobile platforms.
Research Focus
Key Achievements
Top Papers
- 1