Alief Maulana
Papers
1
Total Citations
2
H-Index
1
About
Alief Maulana is a robotics researcher whose work centers on control systems and dynamic stabilization for humanoid robots. His primary contributions lie in developing robust balance control strategies that enable more stable, harmonic motion in bipedal platforms. His most-cited paper, "Dynamic balancing humanoid robot using complementary filter to optimized PID controller" (2019), addresses a critical challenge in humanoid robotics: reducing crash frequency and improving stability through sensor fusion. By integrating complementary filters with optimized PID controllers, Maulana’s approach leverages force/torque and inertial moment sensors to achieve precise position control. While his citation count (2) reflects a niche but emerging impact, his work contributes foundational techniques for enhancing robot autonomy in dynamic environments. Maulana’s research is particularly relevant for students and engineers exploring low-cost, sensor-based balancing solutions, bridging theoretical control theory with practical robotic applications. His focus on reducing mechanical failure and improving energy efficiency in humanoid motion positions him as a promising voice in the field of mechatronics and adaptive control.
Research Focus
Key Achievements
Top Papers
- 1