Muhammad Sobirin
Papers
1
Total Citations
10
H-Index
1
About
Dr. Muhammad Sobirin is a robotics researcher whose work centers on the control and stabilization of bipedal locomotion, with a particular emphasis on fuzzy logic systems and sensor integration. His most cited paper, “Stability Control for Bipedal Robot in Standing and Walking using Fuzzy Logic Controller” (2021), introduces a novel control method that leverages Inertial Measurement Unit (IMU) sensor feedback to maintain balance on uneven terrain. By using the IMU to measure the robot’s body tilt in real time, Sobirin’s approach enables stable standing and walking even under challenging surface conditions—a critical step toward practical humanoid robots. This work has garnered 10 citations, reflecting its relevance to researchers tackling dynamic balance in legged robotics. Beyond this paper, Sobirin’s contributions advance the intersection of soft computing and mechatronics, offering robust solutions for real-world robot deployment. His research is particularly valuable for students and engineers interested in adaptive control, sensor fusion, and the ongoing quest to make bipedal robots as agile and reliable as their biological counterparts.
Research Focus
Key Achievements
Top Papers
- 1