Muhammad Irfan Pamungkas
Papers
1
Total Citations
9
H-Index
1
About
Muhammad Irfan Pamungkas is a researcher specializing in control systems, sensor fusion, and embedded systems, with a particular focus on inertial measurement unit (IMU)-based angle estimation for dynamic platforms such as spacecraft, UAVs, and robots. His most cited work, "Estimasi Sudut Rotasi Benda Kaku Berbasis IMU Menggunakan Kalman Filter" (2021, 9 citations), addresses the critical challenge of noise in IMU sensors that degrades rotation angle accuracy. By applying a Kalman filter, he developed a robust method to improve estimation precision, directly supporting the control of autonomous and remotely operated vehicles. This contribution is foundational for researchers working on attitude determination and navigation in resource-constrained environments. Pamungkas’s work demonstrates a practical, algorithm-driven approach to sensor fusion, bridging the gap between theoretical filtering techniques and real-world implementation. His research is particularly valuable for students and engineers in robotics and aerospace seeking reliable, low-cost solutions for motion estimation.
Research Focus
Key Achievements
Top Papers
- 1Estimasi Sudut Rotasi Benda Kaku Berbasis IMU Menggunakan Kalman Filter9 citations · 2021