Ibnu Kresno Wibowo

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About

Ibnu Kresno Wibowo is a robotics researcher whose work centers on autonomous navigation, balance control, and sensor-based perception for mobile and legged robots. His most cited paper, "Quadruped Robot Balance Control For Stair Climbing Based On Fuzzy Logic" (2021, 5 citations), addresses a critical challenge in legged robotics: maintaining stability while ascending stairs. By applying fuzzy logic control, Wibowo developed a method that enables quadruped robots to adapt their posture and gait in real time, improving their ability to traverse uneven terrain. This work contributes to the broader goal of making legged robots more practical for search-and-rescue and industrial inspection tasks. In another notable study, "Corner Detection with 2-D RPLIDAR to Detect Furniture on TCIFFRC Tracks" (2020, 2 citations), he tackled environment mapping for the Trinity College International Firefighting Robot Contest (TCIFFRC). Here, Wibowo demonstrated how 2-D LIDAR data can be processed to detect corners and furniture in unknown indoor layouts, enabling robots to navigate cluttered spaces autonomously. His research combines theoretical control strategies with real-world competition challenges, reflecting a hands-on approach to advancing robotic autonomy. Though his citation counts are modest, his work is foundational for students and engineers developing practical solutions in legged locomotion and indoor mapping.