Risma Dian Alarmi
Papers
1
Total Citations
2
H-Index
1
About
Risma Dian Alarmi is a robotics researcher whose work centers on humanoid robot locomotion and balance control, particularly in challenging environments. Her key contribution lies in developing sensor fusion algorithms that enable humanoid robots to maintain stable walking gaits on sloped surfaces—a critical challenge in real-world deployment. In her most cited work, "A Sensor Fusion Algorithm in Humanoid Robot PD Balancing Control for Walking on Slope" (2020), she addresses how shifting the robot's center of gravity (COG) through forward or backward leaning can compensate for uneven terrain, integrating proportional-derivative (PD) control with multi-sensor data to achieve dynamic balance. While her citation count is still growing, this foundational research has practical implications for search-and-rescue robotics and assistive technologies. Alarmi’s work exemplifies how targeted solutions to niche problems—like slope walking—can advance the broader field of bipedal locomotion, offering a stepping stone for future studies in adaptive control and terrain-aware robotics. Her focus on real-world constraints makes her research valuable for engineers developing robots that operate beyond controlled lab settings.
Research Focus
Key Achievements
Top Papers
- 1