Miftahul Ulum
Papers
1
Total Citations
2
H-Index
1
About
Miftahul Ulum is a robotics researcher whose work centers on the dynamic stability and control of humanoid robots, with a particular emphasis on achieving natural, harmonic motion through advanced sensor fusion and optimization techniques. His most cited paper, "Dynamic balancing humanoid robot using complementary filter to optimized PID controller" (2019), addresses a critical challenge in humanoid robotics: maintaining balance to prevent falls and enable fluid movement. Ulum’s key contribution lies in integrating a complementary filter—which fuses data from force/torque and inertial moment sensors—with an optimized PID controller, significantly enhancing a robot’s ability to self-correct its posture in real time. This approach reduces crash frequency and improves overall locomotion stability, laying groundwork for more resilient autonomous systems. Though his citation count is currently modest, his work represents a practical step toward robust bipedal locomotion, a cornerstone of humanoid robotics. Ulum’s research is particularly valuable for students and engineers exploring sensor-based control strategies, offering a clear example of how combining filtering and optimization can solve real-world stability problems in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1