Aripin Aripin
Papers
1
Total Citations
2
H-Index
1
About
Aripin Aripin is a robotics researcher whose work focuses on advancing the stability and locomotion of humanoid robots, particularly in challenging environments. His key research areas include control systems, sensor fusion, and artificial intelligence for robotic motion. Aripin’s most cited paper, "Maintaining Trajectory of CoM for Stable Locomotion of Humanoid Robot Using Kalman Filter and Fuzzy Logic Controller" (2019), addresses a critical challenge in robotics: maintaining balance on uneven or inclined surfaces. By integrating Kalman filters for state estimation with fuzzy logic controllers for adaptive trajectory correction, he developed a method to force the Center of Mass (CoM) along a stable path, enabling more reliable walking in real-world conditions. This work has garnered 2 citations, reflecting its niche but foundational contribution to humanoid locomotion research. Aripin’s approach stands out for its practical application of hybrid control strategies, bridging theoretical control theory and real-world robotic deployment. His achievements highlight a commitment to solving fundamental stability problems, making his research valuable for students and engineers working on legged robotics, autonomous systems, and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1