Afrizal Mayub
Papers
14
Total Citations
90
H-Index
6
About
Afrizal Mayub is an Indonesian robotics researcher whose work spans mobile robotics, bipedal locomotion, and autonomous navigation systems. His research has made meaningful contributions to the field of robot motion control, with a particular focus on odometry-based trajectory tracking, stability control, and intelligent control algorithms. Among his most influential contributions is his work on omni and differential drive wheeled mobile robots, where he developed odometry systems for precise position estimation and heading control — research that has collectively garnered dozens of citations. His investigations into bipedal robot stability, notably using force sensitive resistor sensors and fuzzy logic controllers to maintain balance on uneven terrain, demonstrate a sophisticated integration of sensing and control theory. Mayub has also advanced behavior-based robotics through simulation environments such as V-REP, applied Linear Quadratic Regulator (LQR) control to inverted pendulum robots, and explored SLAM-based navigation using Hector SLAM. With over 80 cumulative citations across his top works, his research bridges theoretical modeling and practical implementation. Notably, he has extended his robotics expertise into physics education, developing bipedal robot simulations as pedagogical tools — reflecting a commitment to both scientific innovation and knowledge dissemination.
Research Focus
Key Achievements
Top Papers
- 1Trajectory Tracking pada Robot Omni dengan Metode Odometry16 citations · 2019
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- 5Identifikasi Pemodelan Matematis Robot Wall Following9 citations · 2018
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- 7Kendali Logika Fuzzy pada Car Like Mobile Robot (CLMR) Penjejak Garis6 citations · 2018
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